Method for identifying single item attention event in supply chain

Abstract

In an embodiment, a processor-based method of identifying or determining a sequence of interconnected product cue events for a point or site in a supply chain includes obtaining real-time parameters of an interconnected product at a first location within the supply chain by receiving an output from an inquiry of a digital trigger attached to or integrated into the interconnected product. The method further includes comparing the real-time parameters of the interconnected product with the target parameters using the conditions, thereby determining a comparison result. The method further includes identifying an associated cue based on the comparison result. The method further includes remediating the event by performing an automatic action based on the prompt.

Description

[0001] Cross-references to related patent applications

[0002] This application claims the benefit of U.S. Provisional Patent Application No. 63 / 320,321 filed on March 16, 2022, which is incorporated herein by reference in its entirety and becomes a part of the present invention. Background Art

[0003] For some traditional systems and methods of sending items through the supply chain, tracking various items may involve using itemized inventory lists to track the number of each item flowing through the supply chain. This traditional system may cause items to be forgotten, lost, or delayed during the transfer or circulation process through the supply chain, resulting in inefficiency and waste. Therefore, there may still be a need to improve the traditional system. Summary of the invention

[0004] The present invention describes methods and systems for identifying or determining events of interest (e.g., suspicious events or sequences of events) for items or articles (e.g., commercial goods) in a supply chain. In some embodiments, the items or articles are connected products. In some embodiments, the connected products are managed by a connected product platform or solution. In some embodiments, the connected product platform / solution is a cloud-based platform / solution.

[0005] In some embodiments, the event of interest includes a difference, mismatch, or other disconnection between the supply chain data of an actual item or connected product and the same data of a reference item or connected product. For example, the connected product is a perishable food item that is allocated a maximum amount of time (dwell time) at a certain station in the supply chain. The dwell time of the actual product is compared to the dwell time of the reference product to determine if there is an anomaly.

[0006] In some embodiments, suspicious event sequences or anomalies in the supply chain are evaluated at least in the residence time, traversal data, single product state transitions, or a combination thereof of the interconnected products.

[0007] In some embodiments, the interconnected product may include one or more digital triggers known in the art. Exemplary digital triggers include, but are not limited to, RFID (e.g., HF, UHF) tags, NFC, QR codes, barcodes, digital watermarks, Bluetooth beacons, etc. In some embodiments, the digital triggers and / or the interconnected product include means for identifying the geographic location of the interconnected product. The digital triggers may be read or interrogated using any technology / device known in the art, including handheld devices, on-premises devices (e.g., tunnels, gates, etc.), smart shopping carts, smart shelves, smart totes, pallet readers, etc. The reader / interrogation device may transmit the interconnected product data to the field data or to the cloud directly or through an API or other application.

[0008] The methods and systems described in the present invention may also be used to manage purchase orders, evaluate / confirm sustainability scores, consumer experience / analysis, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 is an exemplary representation of a dashboard or display center providing global inventory tracking information.

[0010] Figure 2 An exemplary representation of a dashboard or display center that provides the minimum and maximum number of prompts.

[0011] Figure 3 is an exemplary representation of a dashboard or display center that provides dwell time prompts.

[0012] Figure 4 is an exemplary representation of a display center or dashboard card showing inventory and alerts for warehouses and retail locations.

[0013] Figure 5 An exemplary representation of a display center or dashboard card showing warehouse and retail location inventory and alerts, including site-specific alerts.

[0014] Figure 6 An exemplary representation of a display center or dashboard card showing warehouse and retail location inventory and alerts, including site-specific alerts.

[0015] Figure 7 is a flow chart showing the process of assigning a unique identification number to an item / article and associating data / information with the item / article.

[0016] Figure 8 is a flow chart showing the process of comparing dwell time data.

[0017] Fig. 9 is a flow chart showing the process of comparing traversal data.

[0018] Fig.10 is an exemplary representation of a purchase order management display center or dashboard.

[0019] Fig.11 is an exemplary representation of a customer experience display center or dashboard.

[0020] Fig.12 and Fig.13 An exemplary representation of a display center or dashboard showing customer experience or action analytics.

[0021] Fig.14 is a block diagram of an exemplary computing system.

[0022] Fig.15 It is a schematic diagram of a computer program product. DETAILED DESCRIPTION

[0023] I. Definitions

[0024] An "anomaly" may refer to one or more differences or mismatches between one or more item parameters and the same one or more reference item parameters.

[0025] "Connected Product" may mean a physical or other item to which a Digital Trigger is attached or affixed or in which a Digital Trigger is integrated, such as a commercial good or raw or starting material. A Connected Product may mean software, an audio file, an image, a poster, or other item. Such items are provided for sale or licensing.

[0026] “Connected Products Cloud” may refer to a cloud-based platform for managing connected products.

[0027] A "digital trigger" may refer to one or more sensors or devices that read, are read, adapt to, and / or respond to an environment of use. Some examples of digital triggers may include one or more QR codes, bar codes, NFC tags, RFID tags, digital watermarks, or other detectable features that can be used to identify a product or cause an interaction (e.g., between a user and software or between a first Internet-connected device and a second Internet-connected device). Additional information is provided below.

[0028] "Interrogating a digital trigger" may refer to exposing a digital trigger to a means of retrieving information from the trigger, such as a radio signal and a radio frequency identification tag. In some embodiments, interrogating a digital trigger may involve providing conditions intended to power the digital trigger or cause the digital trigger to respond.

[0029] "Product parameters" can refer to one or more attributes, characteristics, standards, detailed information, etc. of a product at a certain site or point in the supply chain.

[0030] "Intervention" may refer to one or more actions. For example, in some embodiments, actions may be taken to reduce, eliminate, or inhibit an anomaly. In other embodiments, actions may be taken to cause, encourage, increase, or otherwise affect an anomaly or other event.

[0031] A “point in the supply chain” can refer to a non-physical location in the supply chain, such as a mode of transportation (e.g., truck, plane, ship).

[0032] "Reference item parameters" may refer to one or more attributes, characteristics, standards, detailed information, etc. of a reference item at a certain point or station in the supply chain.

[0033] "Stations in the supply chain" may refer to physical locations in the supply chain, such as production sites (e.g., factories), packaging plants, distribution centers, warehouses, retail locations, stores, etc.

[0034] II. Methods for identifying or determining suspicious sequences of events

[0035] The present invention introduces a method for identifying suspicious event sequences (such as one or more suspicious or incorrect events) or anomalies of individual items (such as commercial items or raw materials or starting materials) in a supply chain.

[0036] A. Connected Products

[0037] In some embodiments, the single product that is subject to suspicious event sequence or anomaly assessment is a connected product. In some embodiments, the digital trigger can be any digital trigger known in the art. Exemplary digital triggers include, but are not limited to, radio frequency identification (RFID) tags or labels, QR codes, bar codes, digital watermarks, NFC, machine-readable codes, visual systems, Bluetooth low energy (BLE) beacons, or other digital identification (ID) systems. In some embodiments, the digital trigger is a trigger that can be serialized, i.e., encoded with a unique identification number.

[0038] 1. RFID tags / labels

[0039] Radio frequency item-level sensors (also known as RFID tags) are wireless devices with varying amounts of memory, typically 96-128 bits of EPC storage, 48-96 bits of TID storage, and optional features such as user memory as described in GS1. These sensors have a unique ID, respond to RF energy, and broadcast the presence of the specific item to which they are attached. Several factors affect the range and readability of RFID item-level sensors and antennas (embedded), including size, power, and frequency.

[0040] Typical RFID devices generally include an antenna for wirelessly transmitting and / or receiving RF signals, and analog and / or digital electronic devices operably connected to the RFID device. So-called active or semi-active RFID devices may also include a battery or other suitable power source. Typically, the electronic device is implemented by an integrated circuit (IC) or a microchip or other suitable electronic circuit, and may include communication electronic devices, data storage, control logic, etc. In operation, the function of the IC or microchip is to store and / or process information, modulate and / or demodulate RF signals, and optionally perform other specialized functions. Typically, RFID devices are able to typically retain and convey enough information to uniquely identify individuals, packages, inventory and / or other similar objects, such as objects with RFID devices affixed.

[0041] Typically, an RFID reader or base station is used to wirelessly acquire data or information (e.g., an identification code) communicated by an RFID device. Typically, an RFID device can store, transmit, or otherwise display an identification code or other identifier. The manner in which an RFID reader interacts and / or communicates with an RFID device typically depends on the type of RFID device. A given RFID device is typically classified as a passive device, an active device, a semi-passive device (also known as a battery-assisted or semi-active device), or a beacon-type RFID device (typically considered a subcategory of active devices). Passive RFID devices generally do not use an internal power source and are therefore passive devices, and only become active when there is an RFID reader nearby that powers the RFID device (e.g., the RFID device wirelessly emits light using RF signals and / or electromagnetic energy from the RFID reader). In contrast, semi-passive and active RFID devices have their own power source (e.g., a small battery). When communicating, a conventional RFID device (except for so-called beacon-type RFID devices) responds to queries or inquiries received from an RFID reader. The response is typically achieved through backscattering, load modulation, and / or other similar techniques that are used to manipulate the field of the RFID reader. Typically, backscattering is used in far-field applications (ie, the distance between the RFID device and the reader is greater than about a few wavelengths), and alternately, load modulation is used in near-field applications (ie, the distance between the RFID device and the reader is within about a few wavelengths).

[0042] Passive RFID devices typically emit signals or communicate their respective data or information by backscattering a carrier wave from an RFID reader. That is, for a traditional passive RFID device, in order to retrieve information from the device, the RFID reader typically sends an excitation signal to the RFID device. The excitation signal causes the RFID device to power on, and the RFID device transmits the information stored therein back to the RFID reader. In turn, the RFID reader receives the information from the RFID device and decodes the information.

[0043] As mentioned previously, passive RFID devices typically do not have an internal power source. Instead, the operating power of a passive RFID device is provided by the energy in the incoming RF signal that the RFID device receives from the RFID reader. Typically, the incoming RF signal induces a small current in the RFID device's antenna, providing sufficient power for the IC or microchip in the RFID device to power up and transmit a response. This means that the antenna must typically be designed to both harvest the power from the incoming signal and transmit the downlink backscattered signal.

[0044] Passive RFID devices have the advantages of simplicity and long life (e.g., the battery will not die). However, their performance may be limited. For example, the range of passive RFID devices is generally limited compared to active RFID devices.

[0045] In contrast to passive devices, active RFID devices typically have their own transmitter and power source (e.g., battery, photovoltaic cell, etc.). Essentially, active RFID devices utilize a transmitter with its own power source to broadcast a signal that conveys information stored on the IC or microchip in the RFID device. Typically, active RFID devices also use a power source to power the IC or microchip used in the device.

[0046] Generally speaking, there are two types of active RFID devices, one can be considered as a transponder type active RFID device and the other can be considered as a beacon type active RFID device. The significant difference is that an active transponder type RFID device will only wake up when it receives a signal from an RFID reader. A transponder type RFID device responds to an interrogation signal from an RFID reader and then broadcasts its information to the reader. It can be seen that such an active RFID device will only broadcast a signal when it is within the range of the reader, thereby saving battery life. In contrast, a beacon type RFID device transmits its identification code and / or other data or information autonomously (e.g., at defined time intervals or periodically or otherwise) without responding to a specific interrogation from a reader.

[0047] Typically, due to their onboard power source, active RFID devices can transmit at higher power levels (e.g., compared to passive devices), making them more robust in a variety of environments. However, batteries or other onboard power sources may cause active RFID devices to be relatively large and / or expensive to manufacture (e.g., compared to passive devices). In addition, active RFID devices may have a limited shelf life compared to passive RFID devices - i.e., due to the limited life of the battery. Nonetheless, the self-contained power source generally allows active RFID devices to include larger memory than passive devices, and in some cases, the onboard power source also allows active devices to include additional functionality, such as acquiring and / or storing environmental data from suitable sensors.

[0048] Similar to active devices, semi-passive RFID devices usually have their own power source, but the battery usually only powers the IC or microchip and not the signal broadcast. Instead, like passive RFID devices, the response of semi-passive RFID devices is usually powered by backscattering the RF energy received from the RFID reader, that is, as in the case of passive devices, the energy is reflected back to the reader. In semi-passive RFID devices, the battery is also usually the power source required for data storage.

[0049] Conventional RFID devices typically operate in a variety of frequency ranges, including the low frequency (LF) range (i.e., from about 30kHz to about 300kHz), the high frequency (HF) range (i.e., from about 3MHz to about 30MHz), and the ultra-high frequency (UHF) range (i.e., from about 300MHz to about 3GHz). Passive devices will typically operate in any of the above frequency ranges. In particular, for passive devices: LF systems typically operate in a frequency range of around 124kHz, 125kHz, or 135kHz; HF systems typically operate in a frequency range of around 13.56MHz; and UHF systems typically use a frequency band between 860MHz and 960MHz. Alternatively, some passive device systems also use 2.45GHz and other areas of the radio spectrum. Active RFID devices typically operate at frequencies around 455MHz, 2.45GHz, or 5.8GHz. Semi-passive devices typically use frequencies around 2.4GHz.

[0050] The read range of an RFID device (i.e., the range at which an RFID reader can communicate with the RFID device) is generally determined by many factors, such as the type of device (i.e., active, passive, etc.). In some embodiments, a passive LF RFID device (also known as an LFID or low FID device) can generally be read within a range of about 12 inches (0.33 meters); a passive HF RFID device (also known as an HFID or high FID device) can generally be read from up to about 3 feet (1 meter); and a passive UHF RFID device (also known as an UHFID device) can generally be read from about 10 feet (3.05 meters) or more. However, the above distances are exemplary distances and the distances may vary (e.g., become longer or shorter) depending on the above characteristics. An important factor affecting the read range of a passive RFID device is the method of transmitting data from the device to the reader, that is, the coupling mode between the device and the reader - this mode can generally be inductive coupling or radiation / propagation coupling. Between the device and the reader, passive LFID devices and passive HFID devices usually use inductive coupling, while between the device and the reader, passive UHFID devices usually use radiation or propagation coupling.

[0051] In inductive coupling applications (such as those commonly used in passive LFID and HFID devices), the device and reader are typically each equipped with a coil antenna that together form an electromagnetic field between the two. In inductive coupling applications, the device draws power from the electromagnetic field, uses the power to run circuits on the device IC or microchip, and then changes the electrical load on the device antenna. The reader antenna thus senses the change in the electromagnetic field and converts this change into data that the reader or auxiliary computer can understand. Because an electromagnetic field must be formed between the coil in the device antenna and the coil in the reader antenna in order to complete the inductive coupling between the device and the reader, the device must usually be quite close to the reader antenna, which often limits the read range of these systems.

[0052] Alternatively, in radiative or propagation coupling applications (such as those commonly used by passive UHFID devices), rather than creating an electromagnetic field between the reader and device's respective antennas, the reader emits electromagnetic energy to illuminate the device. In turn, the device collects energy from the reader through its antenna, and the device's IC or microchip uses the collected energy to change the loading on the device's antenna and reflect back a modified signal, i.e., backscatter. Typically, UHFID devices can transmit data in a variety of different ways. For example, they can increase the amplitude of the reflected wave sent back to the reader (i.e., amplitude shift keying), shift the reflected wave to make it an anti-phase received wave (i.e., phase shift keying), or change the frequency of the reflected wave (i.e., frequency shift keying). In any case, the reader picks up the backscattered signal and converts the modified wave into data that the reader or auxiliary computer can understand.

[0053] The antenna used in an RFID device is also generally influenced by many factors, such as the intended use, the type of device (i.e., active, passive, semi-active, etc.), the required read range, the coupling mode of the device to the reader, the operating frequency of the device, etc. For example, since passive LFID devices are generally inductively coupled to the reader and the voltage induced in the device antenna is proportional to the operating frequency of the device, passive LFID devices are generally equipped with a multi-turn coil antenna in order to generate sufficient voltage to operate the device's IC or microchip. In contrast, conventional HFID passive devices are generally equipped with a planar helical antenna (e.g., 5-7 turns on a credit card-sized form factor) that generally provides a read range of tens of centimeters. HFID antenna coils can generally be manufactured using relatively inexpensive techniques (e.g., photolithography or similar techniques) compared to winding wire, so the production cost of HFID antenna coils is relatively low (e.g., compared to LFID antenna coils). UHFID passive devices are generally radiatively and / or propagationally coupled to the reader antenna, so conventional dipole-shaped antennas can generally be used.

[0054] 2. NFC

[0055] Near Field Communication, or NFC for short, is a form of contactless communication between mobile devices (such as smartphones or tablets) that uses electromagnetic radio fields instead of radio transmissions (such as Bluetooth, WiFi). NFC is an offshoot of RFID design that works with devices and objects that are close to each other. There are three types of NFC technology in use today: Type A, Type B, and FeliCa. The technology behind NFC allows a device called a reader, interrogator, or active device to generate a radio frequency current that communicates with another NFC-compatible device or a small NFC tag that contains the information the reader needs. Passive devices (such as NFC tags) store information and communicate with readers, but do not actively read other devices. NFC can also be used for peer-to-peer communication between two active devices. In this way, both devices can send and receive information.

[0056] 3. QR Code

[0057] A Quick Response (QR) code is a machine-readable matrix barcode (two-dimensional barcode). A QR code typically contains data that points to a locator, identifier, or tracker for a website or application. QR codes use four standardized encoding modes (numeric, alphanumeric, byte / binary, and Chinese characters) to efficiently store data; extended modes are also available. A two-dimensional digital image sensor is used to detect the QR code, which is then digitally analyzed by a programmed processor. The processor locates three unique squares at the four corners of the QR code image and uses a smaller square (or multiple squares) near the fourth corner to normalize the image based on size, orientation, and viewing angle. The dots throughout the QR code are then converted into binary numbers and verified using an error correction algorithm.

[0058] The amount of data that can be stored in a QR code symbol depends on the data type (mode or input character set), version (1, ..., 40, indicating the outer dimensions of the symbol, i.e., 4 × version number + 17 points per side) and error correction level. For version 40 and error correction level L (low), the maximum storage capacity occurs, denoted by 40-L.

[0059] 4. Plastic packaging digital trigger

[0060] In some embodiments, the one or more digital triggers may be integrated into plastic packaging. In some embodiments, plastic packaging is used to package perishable foods, such as fresh-cut fruits and / or vegetables, proteins, etc. Suitable sensors can be purchased from Avery Dennison. In some embodiments, the RFID sensor is placed on the package so that when the product is stationary on the shelf, the overlap between the product in the package and the RFID inlay area does not exceed 20%. In some embodiments, a low-profile embedded RFID sensor can be used to reduce the coverage area.

[0061] 5. Low Profile Sensor

[0062] In some embodiments, the one or more digital triggers utilize a low profile item level sensor design for difficult to read materials. In some embodiments, these sensors are used on packaged goods such as food. Suitable sensors can be purchased from Avery Dennison. In some embodiments, the sensor can be mounted level, with pads or raised along its length to form a low profile flag. In some embodiments, the tag includes built-in structure that separates the product from the dielectric mass of the inlay. In some embodiments, a low profile inlay size is used to reduce the footprint.

[0063] 6. Microwave-safe inlays

[0064] In some embodiments, the digital trigger is integrated into a sensor that can be safely used in a microwave oven. WO2018 / 125977, WO2019 / 204694, WO2019 / 204698, WO2019 / 204704, WO2020 / 006202, WO2020 / 006219, WO2021 / 138237 and WO2021 / 134066 describe sensors / inlays that can be safely used in microwave ovens, and the documents are incorporated herein by reference.

[0065] In some embodiments, the microwave safe sensor is a microwave safe RFID tag, the tag comprising an antenna defining a gap and operable at a first frequency. The RFID chip and the antenna are electrically coupled to the antenna across the gap. The shielding structure is electrically coupled to the antenna across the gap and covers the RFID chip. The shielding structure includes a shielding conductor and a shielding dielectric, the shielding dielectric being at least partially located between the shielding conductor and the RFID chip. The shielding structure can limit a voltage across the gap when the antenna is exposed to a second frequency greater than the first frequency.

[0066] In some embodiments, the antenna is or includes an antenna having a sheet resistance in the range of about 100 ohms to about 230 ohms. In another aspect, the RFID tag includes an RFID chip and an antenna electrically coupled to the RFID chip. The antenna is or includes a conductor formed of a substrate and a second material having different thermal expansion coefficients, which can cause the antenna to break into multiple pieces when heated.

[0067] In some embodiments, the microwave safe RFID tag includes a substrate having first and second opposing surfaces. An antenna is fixedly mounted on the first surface, the antenna defining a gap and operable at a first frequency. The RFID chip is electrically coupled to the antenna across the gap. A shielding structure is fixedly mounted on the second surface of the substrate, at least a portion of the shielding structure being substantially aligned with the gap. The shielding structure can limit a voltage across the gap when the antenna is exposed to a second frequency greater than the first frequency.

[0068] In some embodiments, the maximum dimension of the RFID tag antenna is no greater than 40 mm. In some embodiments, the center of the shielding structure is substantially aligned with the RFID chip. In some embodiments, the shielding structure is larger than the gap. In some embodiments, the shielding structure is electrically coupled to the antenna through the substrate. In some embodiments, the RFID tag further includes a first and a second conductive bridge, which extends through the substrate between the antenna and the shielding structure so that the first and second conductive bridges are associated with the antenna on opposite sides of the gap. In some embodiments, the first and second conductive bridges are substantially the same. In some embodiments, the first and second conductive bridges are substantially equidistant from the gap. In some embodiments, each of the first and second conductive bridges is closer to the associated edge of the shielding structure than the gap. In some embodiments, each of the first and second conductive bridges includes an electrochemically formed via. In some embodiments, each of the first and second conductive bridges includes a crimp. In some embodiments, each of the first and second conductive bridges includes a conductive ink received by a corresponding hole defined in the substrate.

[0069] In some embodiments, a microwave resistant RFID tag device can be attached to a single item to be placed in a microwave field, such as food to be thawed, heated, reheated, or cooked in a microwave oven. The RFID tag device includes at least one antenna and an RFID chip, wherein the antenna is designed to operate at one or more frequencies, and the chip carries data related to the attached product and / or the microwave process (e.g., cooking) to be performed by the microwave oven. In some embodiments, the RFID tag device antenna is designed to prevent destructive arcing in the 2.45 GHz high-level field and minimize heating of the RFID tag itself during the microwave process.

[0070] In other embodiments, since high-level fields may damage RFID tag devices, an RFID reader system is coupled into the microwave oven cavity to be able to read the RFID tag data before the 2.45 GHz high-level field is applied. The RFID reader system may operate at the 2.45 GHz frequency and be shared or co-located with the microwave oven transmitter, or operate at a separate frequency (such as UHF in the range of 900 MHz to 930 MHz), or may operate at both frequencies. The RFID reader system then interacts with the microwave oven controller to authorize and / or control the cooking process of the tagged food.

[0071] In some embodiments, the RFID tag that can be safely used in a microwave oven preferably comprises a split ring (or shield) conductor formed on one side of a dielectric, a coil antenna conductor formed on the other side of the dielectric, and an RFID chip. The split ring conductor is separated from the coil antenna conductor by a dielectric. Further, the split ring conductor covers most of the coil antenna conductor, so that the split ring conductor is capacitively coupled to the coil antenna conductor through the dielectric. In addition, the split ring conductor includes a gap, so that the microwave current can flow through the coil antenna conductor, but any part of the coil antenna conductor in the gap does not interact with the microwave current to prevent the formation of an arc.

[0072] In other embodiments, the microwave safe RFID tag device includes a second split ring conductor that is rotated relative to the first split ring conductor so that the conductor gap is not aligned and current does not flow in the gap. Then, a coil antenna conductor is placed between the first and second split ring conductors and capacitively coupled to the conductors to effectively short-circuit the coil antenna conductor to the first and second split ring conductors to prevent arcing and excessive current flowing along the coil antenna conductor.

[0073] In other embodiments, the microwave safe RFID inlay comprises a pair of dipole arms extending from a tuned loop, wherein each of the dipole arms terminates at a load terminal. The conductive structure is further configured to have a metal mass less than a standard detection threshold of a metal detector used to scan food and its packaging. In addition, the conductive structure has an area large enough to achieve the required or desired performance, but the area value is still below the typical standard detection threshold associated with scanning metal foreign objects (metal balls with a diameter of about 1 mm) in food or packaging. The conductive structure can be manufactured by printing conductive ink or cutting metal foil. The thickness of the overall conductive structure is then reduced to no less than the skin depth calculated based on the corresponding conductive structure material and frequency. Portions of each load terminal can be hollowed out so that areas of low current in the conductive structure can be removed with minimal impact on the overall RFID performance, while also keeping the mass of the conductive structure below the detection threshold of the metal detector.

[0074] In other embodiments, a microwave food package is provided. The package includes a first package that can be heated in a microwave and a second package associated with the first package, and the second package can be separated from the first package before the first package is heated in the microwave. The package also includes an RFID tag, and the tag includes a responsive strip and a far-field antenna. The responsive strip is associated with the first package, and the far-field antenna is associated with the second package and separated from the responsive strip. When the second package is associated with the first package, the responsive strip can be coupled with the far-field antenna, and when the second package is separated from the first package, the responsive strip can be decoupled from the far-field antenna. When the responsive strip is coupled with the far-field antenna, the RFID tag can perform far-field communication, and when the responsive strip is decoupled from the far-field antenna, the responsive strip can only perform near-field communication.

[0075] In some embodiments, the microwave safe RFID sensor is a Wavesafe TM , available from Avery Dennison. Wavesafe TM Wavesafe is a microwave-safe UHF RFID solution developed by Avery Dennison in 2017 and launched in 2019. It is used to label fresh and frozen perishable packaged foods at the item level to ensure safety and compliance. TM The unique design prevents arcing or heat build-up during microwave heating while still providing the highly accurate read rates needed for time tracking.

[0076] Commercially available sensors include the AD251, available from Avery Dennison. In some embodiments, the microwave-safe inlay is used for meat and seafood, including meat and seafood packaged in foam trays. In some embodiments, the microwave-safe inlay meets T-Mark authentication standard. In some embodiments, the RFID sensor is placed on the outside of the foam tray to ensure separation from the single product.

[0077] 7. Flag

[0078] In some embodiments, the sensor is or includes a flag. The flag is a tag or label that contains a digital trigger (such as an RFID inlay) so that a portion of the tag or label can be offset from the rest of the tag or label. This helps reduce or eliminate interference between the item to which the tag or label is attached and the digital trigger (such as a metal item or package and an RFID metal antenna). There are many known flag structures in the art. In some embodiments, the structure has folds to create an offset. For example, the Midas RFID tag available from Avery Dennison Corporation is a RFID tag that can be used to identify a portion of a tag or label. However, other flag structures may also be used.

[0079] B. Interrogation of Digital Triggers

[0080] A digital trigger attached to, adhered to, or incorporated into a connected product may be interrogated or read using any method and / or device known in the art for interrogating or reading a particular digital trigger. For example, if the digital trigger is an RFID tag, the RFID may be interrogated or read by an RFID reader. The RFID reader may be a handheld device such as a smartphone, tablet, or other handheld device or a macro device such as a tunnel scanner / reader, a gate reader, an overhead RFID reader, or a shelf reader such as a smart shelf. Such devices may be referred to as readers or hardware. Software may be incorporated into the hardware as needed to operate the hardware and analyze the data stored in the trigger. The reader may send the data to an onsite server, which may then send the information to the connected product platform, or the reader may send the information directly to the platform.

[0081] 1. Local read point

[0082] In some embodiments, the digital trigger is interrogated or read by a combination of local read points and wide area read points.

[0083] In some embodiments, the local read point is or includes a shelf-level or pallet-level reading device that monitors the presence and timestamp of the last seen data from a given space. In some embodiments, the local read point is a fully functional mobile device that is easy to use, aesthetically pleasing, adapts to existing fixtures, reduces or eliminates on-premises hardware requirements, and reduces cabling. In some embodiments, the device publishes a unique item ID, timestamp, location, and event trigger type to a defined destination. In some embodiments, event-based data is sent directly from the reader without the need for an on-premises server.

[0084] In some embodiments, the local reading device is a phased array antenna grid. The phased array antenna grid provides a controllable reading segment by cycling through the transverse phase signal. This forms a controlled closed reading area that can be digitally moved across the surface. Multiple alternating phased cells form a grid segment for x-axis position identification.

[0085] In some embodiments, the local reading device is a smart shelf. In some embodiments, the shelf reader includes a reader control board and an RF antenna array. In some embodiments, each set of antennas forms a defined read area that electronically circulates over the length of the shelf reader. In some embodiments, each smart shelf is connected to a control unit that includes a processing unit via a USB cable. The architecture may include any number of ports in the control unit to achieve the desired capacity. Other features may be added to the control unit, such as WiFi network connectivity. Each set of shelf readers may be a stand-alone network device that transmits event-based data to the network through the control unit, or may be connected in series.

[0086] In some embodiments, the local reading device comprises or is in a parent-child configuration. In some embodiments, the parent-child configuration comprises a parent smart shelf for controlling and powering one or more child smart shelves. Since this configuration comprises only a single parent (master) shelf, rather than multiple parent (master) shelves with their own control and power supply units, costs can be reduced.

[0087] In some embodiments, the local reading device is a smart shelf with an RFID reading device and / or single or multiple RFID antennas. In some embodiments, the antennas can be divided into two groups: one group is short response within the direct range of the physical shelf, and the other group is long response, but the long response read area exceeds the physical shelf by a certain distance, and its farthest read edge is kept at a certain distance from the physical shelf. In some embodiments, the short response antenna is placed in close proximity to one or more products in read area #1. The read area can be composed of multiple antennas or read areas. In order to detect exit events or entry events, products labeled with UHF RFID (wireless detection, RF detection, etc.) are detected in read area #1. In some embodiments, read area #1 has a tightly controlled read area, and when products exit or enter, a fast response can be generated due to the short distance that the picked product moves before leaving read area #1, and the response is close to the shelf and standard commercial product configuration. Because the edge of read area 2 is at a certain distance from the physical shelf, some people believe that exit events from read area #2 take a longer time.

[0088] In some embodiments, read zone #2 produced by the long response antenna is also monitoring the shelf, but its read field is higher power or is using a different type of RF read field, resulting in a stronger, larger read zone. Read zone #2 is detecting entry and exit events in a similar manner to zone #1, but read zone #2 captures a larger space and therefore has a slower sensing reaction time. Based on the product location or multiple product locations blocking the visibility of read zone #1, the data from read zone #2 is used to correct the data representing products that were not displayed to read zone #1 or were not detected by the corrected read zone #1.

[0089] In some embodiments, the relative sizes of the read zones are reversed, for example, as described above, read zone #1 is larger and read zone #2 is smaller.

[0090] In some embodiments, the number of read zones is greater than 2 or less than 2, for example, 1, 3, 4, 5 or more read zones. In some embodiments, the multiple read zones have dual functionality in two defined read zones, such as short distance and long distance. In other embodiments, a particular read zone has functionality in another read zone. In other embodiments, the multiple read zones intersect and are generated from the same plane.

[0091] In some embodiments, data from different read zones are combined to provide data depth or enrich the data or generate more accurate data. In some embodiments, data can be reported in the form of event types to indicate whether an item is visible in only one of the read zones or both, the timing between exits, managed by different filters or settings, or data events in multiple read zones. Data from multiple defined read zones can provide deep data for machine learning, artificial intelligence, localized software, and actionable data.

[0092] Other sensors and data inputs are also desirable. These sensors may be non-RF sensors such as visual, infrared, ultrasonic or other known devices.

[0093] 2. Wide-area reading equipment

[0094] In some embodiments, wide area represents or defines one or more read zones that cover the area when the product is stationary and the area around the product sales location. In some embodiments, wide area coverage includes but is not limited to RFID real-time location systems (RTLS) that report x and y coordinates. RTLS is typically used to pinpoint the exact location of a single item within a facility. In some embodiments, RTLS works in conjunction with Bluetooth technology and GPS to monitor and track objects and interactions (when interactions occur). In some embodiments, the RTLS functionality of an RFID reader is used only to supplement an existing sensor suite in use.

[0095] In some embodiments, the wide area reading device is or includes an overhead reader phased array that can operate with multiple read zones in north, south, east, and west configurations. The multiple zones can be used to generate x and y coordinates. In some cases, this RF coordinate is combined with the visual coordinates of the item to help provide confirmation after the product is selected.

[0096] C. Data Path / Software

[0097] In some embodiments, the system receives data in various formats from multiple different data sources, repackages the received data for a specific destination, and securely and reliably delivers the packaged digital identity data. The data receiving and processing method and system are described in WO2021 / 247628, which is incorporated by reference in the present invention and becomes a part of the present invention.

[0098] In some embodiments, the data transmitted from the present invention is a set of data or a segment of data from one of a plurality of data sources. The various data sources may be a plurality of different sensors that collect data based on their specific use. The present invention contemplates combining data from a single or multiple read regions, combining multiple data inputs in a repository, and / or transmitting a single or multiple data sets to a machine learning algorithm and / or an artificial intelligence system.

[0099] In some embodiments, data communicated from the present invention is combined with other data sources to determine system actions or activities, and / or to enable or negate internal or external notifications to the system.

[0100] In some embodiments, data collected by external sensors may influence the thresholds and events communicated by the present invention.

[0101] In some embodiments, the data and / or event data of the present invention may affect thresholds and events communicated by external and / or other sensors.

[0102] In some embodiments, data sources can cross-communicate with each other in order to dynamically adjust settings within the source device. This approach provides dynamic adjustments that are influenced by the environment interpreted by other data sources or source devices and sensors.

[0103] In some embodiments, the system includes a repository for receiving data about serialized items from a source. The repository can be a designated application, such as a cloud application, such as middleware software. The serialized items can be RFID-tagged, UPC-coded, or ERP-coded products that contain a digital identity about the source-readable product. The digital identity may include a unique product identity, an item expiration date, or other product-related data, and the data source may include an edge device, such as a smart shelf, a smart cooler, a smart store, or a smart warehouse, and the edge device has an RFID reader / interrogator that has an electronic display and can monitor nearby products. For example, when a serialized item is moved from, to, or around a source, the source can communicate this information to the repository.

[0104] In some embodiments, the repository may be a designated cloud application and is preferably configured to receive data about serialized items from a data source and manage the digital identity of the product. The repository may also manage the inventory of the product based on the information received from the data source, and may further combine or aggregate the received data about the product with other product-specific data, environment-specific data, consumer behavior data, or other variable and / or fixed data feeds.

[0105] In some embodiments, the system further comprises a single or multiple digital destinations, including but not limited to cloud applications. The destination application can receive and publish the combined data sent from the repository through a connector. The connector can be an active directory gateway, a cloud connector, etc. The destination application can provide product data, availability, inventory, etc. to searchers in a local area. In addition, the destination application can also manipulate product-related pricing information based on product expiration dates, shelf life, or other data that meets user needs and / or preferences.

[0106] The destination application can then publish the data in a searchable format. In addition, the destination application can also transmit the data back to the data source or other electronic display at the retail point, so that the retail point can benefit from the accumulated and / or updated data. For example, a consumer can view the same product price online in the destination application as the price seen at the retail point.

[0107] In some embodiments, the method and system are as described above, and the system includes a destination cloud application for receiving, manipulating, and publishing data about serialized items from a data source. The serialized items may include, but are not limited to, RFID-labeled, UPC-coded, or ERP-coded products, which contain a digital identity about the source-readable product. The digital identity may include a unique product identity, an item expiration date, or other useful product data. The source may be an edge device, which may include a fixed or handheld device that communicates with a sensor or machine-readable code, such as a smart shelf, a smart cooler, a smart store, or a smart warehouse, and has an RFID reader / interrogator, which has an electronic display and can monitor the products / serialized items at the source location. For example, when a customer or staff member removes a serialized item from a source, adds a serialized item to a source, or manipulates a serialized item around a source, the source can communicate this information to the destination cloud application.

[0108] Similar to the previous embodiment described above, the destination cloud application receives data about serialized items from a source and manages the digital identity of the product through a connector. Similarly, the destination cloud application manages the inventory of the product based on the information received from the source. The destination cloud application can combine the received data about the product with other product-specific data. The connector can be an active directory gateway, a cloud connector, or a similar device. The destination cloud application can then provide the combined product data or any portion thereof to searchers in the local area. In addition, the destination cloud application can also manipulate product-related pricing information based on product expiration dates, shelf life, or other useful data.

[0109] The destination cloud application can then publish the data in a searchable format that is available to consumers in the local area. In addition, the destination application or repository can also transmit the data back to the source or other electronic display at the retail location, and the retail location can also use the combined data. For example, a consumer can view the same product price online in the destination cloud application as the price seen at the retail location.

[0110] In other embodiments, the methods and systems described in the present invention include processes for increasing the migration and accessibility of product-related data. The system includes a designated application, such as a cloud application, for receiving data about serialized items from a source, and the designated application can be middleware software. As described above, the serialized items can be RFID-labeled, UPC-coded, or ERP-coded products, and the products contain a digital identity about the source-readable product, and the digital identity can include a unique product identity, an item expiration date, or other useful product data or information. The source can be an edge device, such as a smart shelf, a smart cooler, a smart store, or a smart warehouse, and has an RFID reader / interrogator, which has an electronic display and can monitor serialized items. For example, when a serialized item is removed from a source, the source can communicate this information to a repository, and the repository can update the product data stored in the repository.

[0111] The designated application may receive data about the serialized item from a source and manage the digital identity of the product. Likewise, the designated application manages the inventory of the product based on the information received from the source. The designated application may further merge the received data about the product with other product-specific data, and may also receive data related to the serialized item from multiple data collection points. The multiple data collection points are sources that are otherwise not suitable for a data sharing environment, such as inventory scans, point of sale data, distributor data, data center data, etc.

[0112] The system may further include a destination application. The destination application may receive, manipulate, and publish the combined data sent from the designated cloud application. The destination application may provide product data, availability, and inventory data to searchers in a local area. In addition, the destination application may manipulate product-related pricing information based on product expiration dates, shelf life, or other product-related data.

[0113] The destination application (e.g., a cloud application) then publishes the combined data in a searchable format for consumers in the local area. In addition, the destination application can also transmit the data back to the source or other electronic display at the retail location. The consumer can then view the same product prices online in the destination application as seen at the retail location and determine whether there is local inventory available for purchase.

[0114] In some embodiments, the method of the present invention includes or comprises edge software. Edge software is embedded software that runs in the reader hardware, eliminating the need for on-premises computer equipment and servers. Edge software simplifies the data path and reduces the requirements for software development on the user. In some embodiments, as described above, the edge software delivers event-based data directly from the reader to local and / or cloud destinations. Event-based data has reliability, the software is optimized to reduce unexpected data reads, and provides flexibility to adjust the amount of data transmitted from the device to the data destination.

[0115] The reader can provide a variety of information. In addition to a unique identifier encoded into or on the trigger, the reader can also provide a timestamp of the item's arrival and / or departure from a location to calculate elapsed time at that location, geographic location, etc. Combining the trigger with other sensors (such as sensors that record / report conditions such as temperature, humidity, etc.) can provide detailed information on how long the item was exposed to a specific set of environmental conditions. This is especially important for perishable items, especially fruits and vegetables, proteins, cheeses, etc. and / or other connected products that are susceptible to temperature, humidity, etc.

[0116] D. Geographical location

[0117] The physical location of a connected product can be determined using various techniques in the art. For example, in some embodiments, a device for querying or reading a digital trigger provides the physical location of a connected product. In some embodiments, the device is a mobile device, such as a smartphone, smartwatch, tablet, laptop, or other handheld device. In other embodiments, the device is an internally deployed device, such as a pallet reader, tunnel reader, gate reader, shelf reader / smart shelf. In some embodiments, the location of the device is determined using one or more methods or techniques known in the art. Suitable methods and techniques include, but are not limited to, outdoor positioning systems ("OPS") and indoor positioning systems ("IPS"). Exemplary OPS include, but are not limited to, global positioning systems ("GPS").

[0118] Exemplary IPS include, but are not limited to, non-radio technologies and wireless technologies. Examples of non-radio technologies include, but are not limited to, magnetic positioning, inertial measurement, positioning based on visual markers, and location based on known visual features. Examples of wireless technologies include, but are not limited to, ultra-wideband (UWB), WiFi Positioning System (WiPS or WFPS), Bluetooth, Bluetooth 5.1, Bluetooth Low Energy (BLE), choke point concept, mesh concept, long-range sensing concept, arrival angle, arrival time, received signal strength indication, and combinations thereof.

[0119] In some embodiments, the method or technique for determining the location of a mobile device is accurate to within 5 meters, 4 meters, 3 meters, 2 meters, 1 meter, 0.9 meters, 0.8 meters, 0.7 meters, 0.6 meters, 0.5 meters, 0.4 meters, 0.3 meters, 0.2 meters, or 0.1 meters.

[0120] In some embodiments, the location of a device is determined using one or more techniques described herein, and one or more items near the device are identified. In some embodiments, the term "nearby" means within about 10 meters, 9 meters, 8 meters, 7 meters, 6 meters, 5 meters, 4 meters, 3 meters, 2 meters, 1 meter, 0.9 meters, 0.8 meters, 0.7 meters, 0.6 meters, 0.5 meters, 0.4 meters, 0.3 meters, 0.2 meters, or 0.1 meters. However, the items may be farther away.

[0121] The identity of the item may be determined using one or more technologies known in the art. Exemplary technologies include, but are not limited to, planograms; visual inventory; handheld RFID inventory; overhead RFID inventory; visual system inventory; QR; barcode; NFC; or other methods known in the art.

[0122] In some embodiments, one or more sensors are fixed to one or more items at the location of the device, and these sensors can be detected using a localized scanner. Such items are called digital identification items. The sensor can be installed in the label, such as a pressure-adhesive label or other type of label, or installed in the label, such as a tag label. The sensor can be any sensor known in the art and suitable for the methods and applications described in the present invention. In some embodiments, the sensor can be a radio frequency identification (RFID, such as UHF or HF) sensor, a near field communication (NFC) sensor, a quick response (QR) code, a machine-readable code, a visual system, a low-power Bluetooth (BLE) beacon, or other digital identification (ID) system. In some embodiments, the location of the device is determined by one or more of the above technologies, and the items near the mobile device are identified using UHF RFID technology. In some embodiments, the digital ID system uses UHF Gen2 RFID or similar standards.

[0123] E. Identify suspicious, unusual, positive or negative event sequences / anomalies

[0124] The method of the present invention can allow users (such as manufacturers, retail brand owners, distributors, etc.) to see how all of their items (such as commercial goods) are distributed throughout the supply chain, for example, from a production base to a retail building, storage location or retail shelf or floor location and / or delivery location, as well as each station / stop or transit path in between. In some embodiments, the method includes displaying the number of items at each station / stop (such as a factory, warehouse, store, etc.) in the supply chain, as well as the number of items with suspicious, normal, abnormal, positive or negative event sequences or abnormalities selected as "prompts". "Prompts" are identified by comparing actual (including real-time) specific item or item-level data or parameters with one or more reference data or parameters of the item or similar items. By comparing actual data / parameters with reference data / parameters, users can determine whether suspicious, positive, negative, normal events, event sequences have occurred or are occurring. In some embodiments, users or another party can be notified based on the results, and / or corrective / remedial actions can be automatically determined and / or taken as needed.

[0125] In some embodiments, location can be tracked or determined when the digital trigger interacts with one or more detection devices, such as a barcode scanner, QR code scanner, NFC reader, RFID reader, Bluetooth transmitter / receiver, wifi router or access point, or camera. The detection device can be integrated into a mobile device, such as a smartphone, laptop, or tablet, or a fixed-place device, such as a door scanner, printer, or other device. The detection device can transmit information to the system to determine the location, such as one or more of the following: GPS data, IP address, and location determined based on a planogram or building floor plan, based on location relative to other devices (such as triangulation or distance measurement), or based on inertial navigation relative to a starting point.

[0126] The actions taken by the system based on the prompt may include one or more of the following: notification, status change, discard action, remedial action, identification action, recall action, price change or repositioning action. These actions may include one or more of the following: database status change, email, text message, route guidance for personnel to reach the single product, single product movement direction instruction, discard single product instruction or control machine to perform action. Machine control may include automatic transportation of single products, such as using a warehouse management system capable of transporting single products. Status changes facilitate performance data tracking at retail outlets or logistics / transportation companies, and / or may trigger other actions. The discard action may involve changing the status of the single product to discard, which means that retail or logistics personnel or automated packaging handling systems may receive instructions to discard the single product. If the single product is considered expired, deteriorated or damaged, it can be discarded. Remedial actions may involve providing instructions or taking other physical actions to repair, replace or provide compensation.

[0127] In some embodiments, the prompt may include one or more of the following events in combination and in different sequences.

[0128] 1. Dwell time

[0129] In some embodiments, the prompt is a "dwell time" prompt. In some embodiments, exemplary "dwell time" prompts include, but are not limited to, situations where a single item spends longer or shorter time than expected at a location or series of locations (such as one or more supply chain sites, retail store storage areas, shelf locations specified by a store planogram, one or more delivery vehicles). In some embodiments, the dwell time prompt includes situations where a single item takes longer or shorter time to be transferred from one location to another (such as from one supply chain site to another supply chain site), or follows an unexpected path (such as during transfer from one warehouse to another, or during delivery). In some embodiments, the method / system includes configurable / customizable time differences to avoid generating prompts when processing is still within a reasonable time limit. In some embodiments, the reasonable time limit is determined by the end user (such as a manufacturer, retail brand owner and / or retailer).

[0130] 2. Traversal

[0131] In some embodiments, one or more items may generate an unexpected or unusual traversal of the supply chain. Non-limiting examples include observing that an item is traveling to a station that is not usually found in the supply chain, or that an item skips one or more stations that are usually found in the supply chain, or causes and / or includes other location sequences for sales or delivery. For example, the location of an item may be tracked to a storage location or an unexpected diversion station, or along a route that is more than a threshold distance away from the expected route. This skipping of a location, arriving at or transiting through an unexpected area may indicate that tampering has occurred, that the transportation method has failed, that the truck driver or pilot is heading to the wrong destination, that the product is shelved or hung or displayed in a non-planogram approved location in the store, or that the customer re-shelved the product in the wrong location. For perishable goods or time-sensitive delivery, traversal may cause the goods to spoil. For a single item event, this misleading may be a minor problem, but cumulatively it may cause significant losses to manufacturers, shippers, retail stores, grocery stores or other businesses.

[0132] 3. Single product status conversion

[0133] In some embodiments, prompts are generated due to suspicious, unusual, abnormal, normal, positive or negative event sequences or item state transitions (i.e., the sequence of actions performed on / with an item). In some embodiments, transitions can be monitored by recording the time an item arrives at a station, recording the time an item moves within a station, recording how and where an item travels along a route during transportation, and / or recording the time an item leaves a station. Target events or event sequences can include movement of items outside of business hours (indicating item tampering or theft) or rapid acceleration / deceleration (indicating that an item has been dropped and may be damaged). Transition prompts may be associated with longer or shorter times to deliver, store, inventory, replenish, display, or sell an item.

[0134] 4. Internet product platform

[0135] The methods of the present invention may be used in conjunction with a connected product solution or platform (collectively, a system). An example of such a platform is atma.io provided by Avery Dennison. Atma.io may include a digital trigger-agnostic platform such that any digital trigger known in the art (including combinations of triggers) may provide data to the platform, which manages and analyzes the data and provides users with insight into their supply chain. In some embodiments, the connected product platform includes a dashboard / display center where users can see all of their SKUs and how they are distributed in the supply chain. In some embodiments, the dashboard / display center includes cards divided by site type, showing the number of SKUs located at each site type in the supply chain and the number of prompts.

[0136] The platform / solution can filter and export data based on the needs of the end user. For example, data can be filtered by stock keeping unit (SKU) or purchase order (PO) number. Data can be exported in any format, such as CSV or Excel. The export can be customized to provide any type of information required by the end user, such as SKU, PO, quantity, master data, etc.

[0137] In some embodiments, the platform / solution may also be used to provide tracking analytics. In some embodiments, the platform / solution generates a reminder performance card that identifies one or more of the following: supply chain site, product type, supply type, mode of transport, carrier, individual worker, work group, material, supplier, factory, mode of transport, specific vehicle used within the warehouse, and / or transportation site with the fewest, most, above or below average or median number of reminders. This may be determined by the number of items associated with reminders for a site.

[0138] For example, tracking analysis can be used to generate a dwell time performance card for each station type. In some embodiments, the performance card can identify the stations with the shortest and longest dwell times. In some embodiments, dwell time is expressed as the average unit dwell time (in days) at the station. An example of such a performance card is shown in Figure 1-3 , a user interface according to some embodiments is shown. Figure 1-3 Other embodiments may include more or less of each feature, and may include other information.

[0139] Figure 1 Includes a first filter and a second filter. Filter options may include filtering by PO number and / or by SKU. Figure 1 Further including a first card, a second card, and a third card, each card displays information related to a different type of site. For example, Figure 1 The cards are related to factories, warehouses, and stores, and each card has reminders and inventory counts. In some embodiments, the cards can also display the number of items in and out of the warehouse for one or both of the inventory and reminders. In some embodiments, such as Figure 1 As shown, the display screen can identify specific reminders of items on the site. The shared information can include one or more of the following: site, SKU, last action, last seen time and / or marking reason, and the marking reason can be any one or more of the reminders described in the present disclosure.

[0140] According to some embodiments, Figure 2 Included are cards listing the least suggested sites or the most suggested sites. Exemplary locations are disclosed along with the number of suggested sites. Exemplary sites include factories, warehouses, retail stores, locations inside or outside buildings, and other locations. Other embodiments may include less or more information.

[0141] In some embodiments, the above data combination is analyzed using heuristics and / or machine learning models (e.g., classification and prediction algorithms) to identify / predict anomalies. Once an anomaly is identified, a prompt or alarm is issued in the dashboard / display center, allowing the consumer to review the sequence of events and take corrective measures as needed.

[0142] According to some embodiments, Figure 3 The sites with the least and most dwell time for each site type are disclosed, and the dwell time for different locations is identified. In some embodiments, the first, second, and third site types with the least and most dwell time for each type are displayed.

[0143] According to some embodiments, Figure 4 Included are options that provide operational visibility to end users, attribute-related options, itemization-related options, tracking-related options, counting-related options, and transshipment-related options.

[0144] According to some embodiments, Figure 5 Included are options related to front-end applications, brand protection and consumer engagement.

[0145] 5. Process

[0146] Figure 7 It is a flowchart of assigning a unique identification number to a single item / article and associating the data / information / attributes of the single item with its unique ID number according to some embodiments. For example, in operation 702, a label or logo containing a unique digital ID number may be attached, adhered or incorporated into the single item or article at a production base (e.g., non-food single item) or packaging plant, farm or other site of the food single item 700. The unique digital ID number may be encoded in, embedded in or associated with one or more digital triggers (e.g., RFID tags, QR codes, digital watermarks, barcodes, etc.). Single item specific information (such as size, color, style, single item description, pickup / packaging date, manufacturing / packaging location, etc.) can be associated with the single item / article through its unique ID number, and this information is stored in the interconnected product platform / solution. In some embodiments, a handheld device or an on-premises deployment device can be used to read the unique ID code, and the single item specific information can be communicated / uploaded to the platform / solution through an API or other application.

[0147] For example, in some embodiments, an object name / description is added in operation 704. Object properties are added in operation 706. Locations are associated in operation 708.

[0148] Figure 8 is a flow chart of a comparison of dwell time data according to some embodiments. As described above, in some embodiments, the connected product contains or is attached or adhered to a digital trigger that provides item-level or item-specific data, such as location / station in the supply chain and station dwell time. The dwell time data of the connected product at a particular station can be compared with reference dwell time data for the item or similar items. If the dwell time data matches or is within an acceptable error range, no prompt is generated. However, if the data is inconsistent, the platform / solution will generate a prompt in the platform. The end user can review the prompt to assess the importance of the prompt and determine whether corrective / remedial action must be taken. Since most commercial items are packaged in containers containing tens, hundreds, or even thousands or more units, unacceptable dwell times can result in lost revenue or even financial losses, depending on the nature of the item.

[0149] For example, for food products, unacceptable dwell time, especially in harsh environmental conditions, can significantly reduce shelf life, and in the worst case, the product can spoil / expiry while still in transit to the retailer. In this use case, if unacceptable dwell time is detected, intervention can be made, such as redirecting the goods to a closer warehouse, distribution center (DC), or retailer to get the product on the shelf faster, or determining that the product should be discarded or destroyed if necessary.

[0150] like Figure 8 As shown, according to some embodiments, in operation 800, the residence time information of the single product / article is obtained. In operation 802, the residence time data of the single product / article is compared with the target residence time data. In various embodiments, the reference residence time data can be a predetermined number selected as a target (e.g., a reference residence time), or a historical variable (e.g., the average, minimum, medium, or maximum residence time of a specific location, single product type, and / or situation). The comparison result can match the target, or at least reach or at most equal to the target residence time within a predetermined threshold range (i.e., 1%, 2%, 4%, 6%, 8%, 10%, 15%, 20%, 25% of the target residence time). In operation 804, if the single product residence time meets the conditions, no action is required. In operation 806, if the single product residence time does not meet the conditions, a prompt is created. In operation 808, the prompt is notified to the end user. In operation 810, the end user evaluates and takes corrective measures based on the prompt.

[0151] Fig. 9 is a flow chart of traversal data comparison according to some embodiments. As described above, the connected product may contain or have attached or adhered a digital trigger that can provide item-level or item-specific data, such as supply chain traversal data. The traversal data of the connected product can be compared with a target, which can be reference traversal data for the item or similar items, such as an expected location, site, in-store location, or a specific supply chain storage / shipping site. If the traversal data meets the conditions, such as being at the location or close to the location, or expected to arrive within an acceptable time period, no prompt is generated. However, if the conditions are not met, the platform / solution will generate a prompt in the platform. The end user can review the prompt to assess the importance of the prompt and determine whether corrective / remedial action must be taken. Since most commercial items are packaged in containers containing tens, hundreds, or even thousands or more units, unacceptable traversal events can result in lost revenue or even financial losses, depending on the nature of the item.

[0152] like Fig. 9As shown, according to certain embodiments, operation 900 includes obtaining supply chain data. In operation 902, the supply chain traversal data is compared to a condition (e.g., at or near an expected location). Nearness can mean within a threshold range of a few feet or miles, or expected to arrive within a threshold number of minutes, hours, days, weeks, or months. In operation 804, if the condition is met, no action is required. In operation 806, if the condition is not met, a prompt is created. In operation 808, information about the call is notified to the end user. In operation 810, the end user makes an assessment and takes corrective action. In some other embodiments, the system controls the machine to perform corrective actions, such as automatically retrieving items from the wrong location using standard warehouse automation and item handling systems.

[0153] 6. Sustainability

[0154] In addition to the traceability use cases described above, the methods and systems described above can also be used to provide information and insights about sustainability. In some embodiments, the platform / solution described in the present invention can be used to manage manufacturing sustainability scores, providing end users (especially retail brand owners and manufacturers) with a 360-degree view of their suppliers. In some embodiments, the prompts described in the present invention can be used to track the validity period of the sustainability assessment of manufacturers / suppliers in the manufacturer / supplier supply chain. Each single product produced at a specific production site will inherit the sustainability score in effect at the time of production, thereby providing the end user with a lifelong record of the production conditions of the single product.

[0155] Consumers and regulators expect brands to operate in a sustainable manner, and companies are making sustainability a core part of their corporate responsibility / good corporate citizenship mission. Providing accurate sustainability insights to all stakeholders is challenging when supply chains are fragmented. Tracking assessments and scores for all suppliers, providing item-level assessments and scores, and being able to share assessments and scores with relevant stakeholders and consumers are key to demonstrating sustainability.

[0156] 7. Purchase order management

[0157] The system and method of the present invention can also be used to automate purchase order management. The system and method of the present invention can create a purchase order, associate order items, create and export packing lists, and print carton labels.

[0158] Tracking and managing large purchase orders, registering items on the production line, creating shipping orders and printing carton labels requires a lot of man-hours and is prone to errors when done manually. Maintaining the same standards across dozens or even hundreds of production sites and ensuring that production is not done through unauthorized subcontractors introduces additional complications and challenges. The platform / solution described in the present invention can provide a list of all current purchase orders and their status as well as a summary of the individual items in the purchase order. Fig.10 A representative example is shown in , showing one possible embodiment.

[0159] By selecting a purchase order from the table, the end user can access its full details. Individual items can be added to the purchase order, then activated and shipped. There is also an order fulfillment status to track the progress of the purchase order. In addition, the end user can mark it as confirmed / complete and then enable export capabilities. The end user can download various documents such as summary packing lists, item-based packing lists, and shipping carton labels.

[0160] As mentioned above, according to some embodiments, Fig.10 The form contains one or more of the following: a field for entering a purchase order number, and discloses data such as the PO number, product (unit) quantity, percentage of activated products, percentage of packaged products, percentage of shipped products, percentage of transported products, creation time, update time, and / or status.

[0161] 8. Consumer Experience

[0162] The method and system of the present invention can be used to create a consumer experience, such as a consumer experience gallery. Examples of some embodiments are as follows: Fig.11 The gallery can store all templates and previously used experiences for end users. End users can browse to find the desired experience, create a new experience based on the template, and customize the design. Once the experience begins, end users can gain deeper insights into how consumers engage with the product and conduct more in-depth consumer experience analysis.

[0163] Allowing consumers to directly engage with physical products through unique digital experiences and communicate sustainable aspects of the products using verified data helps deepen the connection between consumers and physical items and win their loyalty and trust. Evaluating the success of retail brand owner / retailer activities based on accurate experience data and being able to track how users interact with the experience allows RBOs / retailers to provide better and more relevant consumer-facing experiences. According to some embodiments, exemplary analysis of consumer actions such as Fig.12 and Fig.13 shown.

[0164] According to some embodiments, Fig.12 One or more of an identifier, timestamp, city, country, device name or type, operating system, browser identifier, item number, or GTIN is provided. The digital trigger may be detected using a location on a map, such as when a consumer scans a QR code, barcode, or RFID tag. At this point, the digital trigger may route the consumer's device (such as a smartphone) to a website associated with the item to which the digital trigger is attached or incorporated. As a result of the consumer scanning the digital trigger, the system may simultaneously or later provide Fig.12 For example, receiving and viewing Fig.12 The data in the tracking system can allow end users to view some, all, or other different information related to the consumer scanning the digital trigger.

[0165] Other uses / functions of the method and system of the present invention include:

[0166] 1. Counting analytics: Gain insight into inventory status. For example, the system can identify the quantity of each item at each station based on current scans, scans through the portal as items pass through fixed readers, or scans performed manually with handheld readers.

[0167] 2. The front-end application can support one or more of a variety of digital triggers and can be used with one or more of NFC URL, GS1 Digital Link and QR Code Identifier;

[0168] 3. Consumer redirection configuration provides simplified and more convenient redirection control for end users;

[0169] 4. The product master data upload function can have detailed error handling to improve user experience and attribute mode management for administrators;

[0170] 5. Reduce the complexity of API integration, including API keys created by administrators in platforms / solutions, such as atma.io;

[0171] 6. Carton audit reason codes can support advance shipping notifications and transit analysis through API;

[0172] 7. Improved support for food industry use cases, including support for reporting metrics for batch / lot numbers and expiration dates.

[0173] Exemplary Computer System

[0174] Fig.14A block diagram is provided in which an example of a system (i.e., computer system 400) that can be used to process signals and / or perform operations described in the present disclosure is shown. The computer system 400 can perform calculations, processes, operations, and / or functions associated with a program or algorithm. In one aspect, certain processes and steps discussed herein are implemented as a series of instructions (e.g., a software program) residing in a computer-readable memory unit and executed by one or more processors of the computer system 400. When the instructions are executed, the instructions cause the computer system 400 to perform specific actions and exhibit specific behaviors, as described herein.

[0175] Computer system 400 may include an address / data bus 402 that can communicate information. In addition, one or more data processing units, such as a processor 404 (or multiple processors), are coupled to address / data bus 402. Processor 404 can process information and instructions. In one aspect, processor 404 is a microprocessor. Alternatively, processor 404 can be a different type of processor, such as a parallel processor, an application specific integrated circuit (ASIC), a programmable logic array (PLA), a complex programmable logic device (CPLD), or a field programmable gate array (FPGA).

[0176] The computer system 400 may use one or more data storage units. The computer system 400 may include a volatile memory unit 406 (e.g., random access memory (“RAM”), static RAM, dynamic RAM, etc.) coupled to the address / data bus 402, wherein the volatile memory unit 406 may store information and instructions required by the processor 404. The computer system 400 may further include a non-volatile memory unit 408 (e.g., read-only memory (“ROM”), programmable ROM (“PROM”), erasable programmable ROM (“EPROM”), electrically erasable programmable ROM (“EEPROM”), flash memory, etc.) coupled to the address / data bus 402, wherein the non-volatile memory unit 408 may store static information and instructions required by the processor 404. Alternatively, the computer system 400 may execute instructions retrieved from an online data storage unit (e.g., in “cloud” computing). In one aspect, the computer system 400 may also include one or more interfaces, such as interface 410, which is coupled to the address / data bus 402. The one or more interfaces may enable the computer system 400 to interact with other electronic devices and computer systems. The communication interface implemented by the one or more interfaces may include wired (e.g., serial cable, modem, network adapter, etc.) and / or wireless (e.g., wireless modem, wireless network adapter, etc.) communication technology.

[0177] In one aspect, the computer system 400 may include an input device 412 coupled to the address / data bus 402, wherein the input device 412 may communicate information and command selections to the processor 100. According to one aspect, the input device 412 is an alphanumeric input device (e.g., a keyboard) that may include alphanumeric and / or function keys. Alternatively, the input device 412 may be an input device other than an alphanumeric input device. In one aspect, the computer system 400 may include a cursor control device 414 coupled to the address / data bus 402, wherein the cursor control device 414 may communicate user input information and / or command selections to the processor 100. In one aspect, the cursor control device 414 is implemented using a device such as a mouse, a trackball, a trackpad, an optical tracking device, or a touch screen. Notwithstanding the foregoing, in one aspect, the cursor control device 414 is directed and / or activated by input from the input device 412, such as in response to commands using special keys and key sequences associated with the input device 412. In another aspect, cursor control device 414 may be directed or guided by voice commands.

[0178] In one aspect, computer system 400 may further include one or more optional computer usable data storage devices, such as storage device 416, coupled to address / data bus 402. Storage device 416 may store information and / or computer executable instructions. In one aspect, storage device 416 is a storage device, such as a magnetic or optical disk drive (e.g., a hard disk drive ("HDD"), a floppy disk, a compact disk read only memory ("CD-ROM"), a digital versatile disk ("DVD")). According to one aspect, display device 418 is coupled to address / data bus 402, wherein display device 418 may display video and / or graphics. In one aspect, display device 418 may include a cathode ray tube ("CRT"), a liquid crystal display ("LCD"), a field emission display ("FED"), a light emitting diode ("LED"), a plasma display, or any other display device suitable for displaying video and / or graphic images and alphanumeric characters recognizable to a user.

[0179] The computer system 400 introduced in the present invention is an example computing environment according to one aspect. However, the non-limiting example of the computer system 400 is not strictly limited to one computer system. For example, one aspect stipulates that the computer system 400 represents a data processing analysis type, which can be used according to the various aspects of the present invention. In addition, other computing systems can also be implemented. In fact, the spirit and scope of the present technology are not limited to any single data processing environment. Therefore, in one aspect, one or more operations of various aspects of the present technology are controlled or implemented by using computer executable instructions (such as program modules) executed by a computer. In one embodiment, such program modules include routines, programs, objects, components and / or data structures, which can perform specific tasks or implement specific abstract data types. In addition, one aspect stipulates that one or more aspects of the present technology are implemented by utilizing one or more distributed computing environments, for example, when tasks are performed by remote processing devices connected through a communication network, or when various program modules are located in local and remote computer storage media (including memory storage devices).

[0180] Fig.15 A schematic diagram of a computer program product (i.e., a storage device) is shown. The computer program product shown is a floppy disk 500 or an optical disk 502, such as a CD or DVD. However, as previously mentioned, the computer program product generally represents computer-readable instructions stored on any compatible non-transient computer-readable medium. The term "instruction" used in connection with the present invention generally represents a set of operations that need to be performed on a computer, and can represent a fragment of the entire program, or a separate, separable software module. Non-limiting examples of "instructions" include computer program codes (source code or object code) and "hard-coded" electronic devices (i.e., computer operations encoded into a computer chip). "Instructions" are stored on any non-transient computer-readable medium, such as in a computer memory, or on a floppy disk, CD-ROM, and flash drive. In either case, instructions are encoded on a non-transient computer-readable medium.

[0181] It should be understood that the above embodiments illustrate some applications of the principles of the present subject matter. Those skilled in the art may make numerous modifications without departing from the spirit and scope of the claimed subject matter, including combinations of features disclosed or claimed by the present invention alone. Therefore, the scope of the present invention is not limited to the above description, but as described in the following claims, it should be understood that claims may be made for features of the present invention, including combinations of features disclosed or claimed by the present invention alone.

Claims

1. A processor-based method for identifying or determining a sequence of interconnected product reminder events at a point or station in a supply chain, the method comprising: obtaining real-time parameters of a connected product at a first location within the supply chain by receiving output from a query of a digital trigger attached to or integrated into the connected product; Using conditions to compare the real-time parameters of the connected product with the target parameters to determine the comparison results; Based on the comparison results, relevant prompts are identified; as well as Remediate incidents by executing automated actions based on prompts.

2. The method according to claim 1, wherein: The prompt is related to at least one of dwell time, traversal, and item state transition.

3. The method according to claim 2, wherein: The prompt includes a dwell time, and the connected product has been identified as having a dwell time at a supply chain site that exceeds a threshold.

4. The method according to any one of claims 1 to 3, wherein: The digital trigger includes a unique identification number for the connected product and a means to determine the geographic location of the connected product.

5. The method according to any one of claims 1 to 4, wherein: The real-time parameters include one or more of geographic location, time spent at a site, transit time to and from the site, temperature, humidity, or temperature change.

6. The method according to any one of claims 1 to 5, wherein: The automatic action includes sending an alert based on the prompt.

7. The method of any one of claims 1-6, further comprising ranking a first location against a second location based on the number of cues created at each location.

8. The method according to any one of claims 1 to 7, wherein: The interconnected products include perishable food products.

9. The method according to any one of claims 1 to 8, wherein: The interconnected product includes a carton, tote or crate containing additional items.

10. A processor-based system for identifying or determining a sequence of interconnected product reminder events at a point or station in a supply chain, the system comprising: processor; as well as Memory, Wherein, through the instructions contained in the memory, the processor can execute: obtaining real-time parameters of a connected product at a first location within the supply chain by receiving output from a query of a digital trigger attached to or integrated into the connected product; Using conditions to compare the real-time parameters of the connected product with the target parameters to determine the comparison results; Based on the comparison, identifying relevant cues; and Remediate incidents by executing automated actions based on prompts.

11. The system according to claim 10, wherein: The prompt is related to at least one of dwell time, traversal, and item state transition.

12. The system according to claim 11, wherein: The prompt includes a dwell time, and the connected product has been identified as having a dwell time at a supply chain site that exceeds a threshold.

13. The system according to any one of claims 10 to 12, wherein: The digital trigger includes a unique identification number for the connected product and a means to determine the geographic location of the connected product.

14. The system according to any one of claims 10 to 13, wherein: The real-time parameters include one or more of geographic location, time spent at a site, transit time to and from the site, temperature, humidity, or temperature change.

15. The system according to any one of claims 10 to 14, wherein: The automatic action includes sending an alert based on the prompt.

16. The system according to any one of claims 10 to 15, wherein: The system is further configured to rank the first location compared to the second location based on the number of prompts created at each location.

17. The system according to any one of claims 10 to 16, wherein: The interconnected products include perishable food products.

18. The system according to any one of claims 10 to 17, wherein: The interconnected product includes a carton, tote or crate containing additional items.

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