Fresh commodity dynamic discount promotion method and system

Abstract

The invention discloses a fresh commodity dynamic discount promotion method and system, and relates to the technical field of smart retail and Internet of Things. In order to overcome the defects that an existing promotion means is low in efficiency and high in error rate, the promotion strength cannot be flexibly adjusted according to real-time sales data, and consequently the rejection rate of commodities in time is high, the method comprises the steps that commodities needing to be promoted are automatically predicted, a multi-period discount proposal is generated, and an instruction packet is generated; the information is sent to an intelligent label printing service module and a POS service module; the multimedia tablet terminal in each area obtains the effective instruction packet and displays the effective instruction packet according to a preset rule; the promotion strategy in the instruction packet is automatically executed in different time periods; the POS service module is used for settlement, and the discount price is automatically calculated according to the discount mark in the bar code of the commodity label and the current time so as to ensure that the discount price is consistent with the price displayed by the multimedia tablet terminal in each area. The method is mainly used for carrying out dynamic discount sales promotion on fresh commodities.

Description

Technical Field

[0001] This invention relates to the fields of smart retail and Internet of Things technology, and in particular to a method and system for dynamic discount promotion of fresh produce based on intelligent prediction, timed synchronization and image association display. Background Technology

[0002] Currently, in fresh food supermarkets or convenience stores, fresh meat, fruit, bread, and other products have extremely high perishability. The current sales model suffers from the following pain points: Price changes are delayed and labor costs are high: During evening promotional periods, store staff need to manually affix "discount yellow labels," which is inefficient and prone to being missed or misaffixed.

[0003] Limited information display: Traditional paper labels or simple e-ink displays (ESL) can only show numbers. For fresh food, it is impossible to play videos or audio to stimulate customers' appetite or desire to buy (such as the sizzling sound of steak being cooked or the fresh and tender image of fruit).

[0004] Lack of price transparency leads to disputes: When customers pick up a product, they are often unsure whether the barcode will actually be discounted at the checkout, lacking a trust-based process that allows customers to verify the "original price vs. current price" themselves.

[0005] The display and promotion are disconnected: the advertising screens often play general advertisements, which cannot be accurately linked to the real-time discount status of specific products on the shelf (such as "50% off for only 3 hours left").

[0006] These traditional methods are inefficient, have a high error rate, and cannot flexibly adjust promotional efforts based on real-time sales data, resulting in a persistently high rate of near-expiry product scrap (loss rate). Summary of the Invention

[0007] In order to overcome the shortcomings of existing promotional methods, such as low efficiency, high error rate, and inability to flexibly adjust promotional efforts based on real-time sales data, resulting in a high rate of near-expiry product scrapping, this invention provides a dynamic discount promotional method and system for fresh produce that can improve promotional efficiency, flexibly adjust promotional efforts based on real-time sales data, and reduce the rate of near-expiry product scrapping.

[0008] The present invention discloses a method for dynamic discount promotion of fresh produce, comprising the following steps: S1. Based on the data of products to be sold, automatically predict the products that need to be promoted, and generate multi-period discount proposals and instruction packages; S2. The server sends the packaged instruction to the smart label printing service module and the POS service module. S3. After the server updates the data status, the multimedia tablet terminals in each region obtain the effective instruction packets and display them according to the preset rules. S4. Automatically execute the promotional strategies in the instruction package in different time periods; S5. The intelligent label printing service module is used to generate labels according to the promotion strategy and affix them to the products to be sold. S6. Use the POS service module to make a settlement, automatically calculate the discount price based on the discount mark in the barcode of the product label and the current time, and ensure that the price is consistent with the price displayed on the multimedia tablet terminal in each region.

[0009] Furthermore: In S1, the multi-time discount proposal is adjusted and the instruction package is updated according to the actual situation.

[0010] Further: In S2, the intelligent label printing service module is used to calculate the expiration time and match the discount icon according to the product's category and production date; The POS service module is used to receive and store discount rules and wait for the time to trigger; The intelligent label printing service module is set up in the weighing area of ​​each region, and the POS service module is set up at the cashier.

[0011] Furthermore: In S2, after both the smart label printing service module and the POS service module report "ready", the system proceeds to the next step to ensure that the system data has been synchronized.

[0012] Furthermore: In S3, the multimedia tablet terminal caches the promotional data in the instruction packet locally to ensure normal display even when the network is disconnected; the multimedia tablet terminal pre-generates discount screens for each time period according to the instruction packet; when the multimedia tablet terminal reports "materials are ready", it enters a countdown state.

[0013] Further: In S4, the promotional strategy includes: When the promotional period has not yet arrived, the multimedia tablet terminal plays preset product promotional videos and background music; When the promotional period arrives, the multimedia tablet terminal automatically switches the interface, stops video playback, displays highlighted discount information in full screen, and plays promotional audio. As time progresses, information on different discount stages is displayed sequentially, enabling multi-stage switching.

[0014] The beneficial effects of adopting the above technical solution are: This invention innovatively designs a "content-driven" display logic to maximize the reach of promotional information. The system defines two complementary visual modes: "product display" and "promotional flash sale." (1) During regular sales hours, highly attractive product videos (such as cooking scenes) are played on the screen, focusing on stimulating appetite; (2) Once the price reduction is triggered in the background, the system will automatically switch the display interface, stop video playback, and instead display high visual impact discount information in full screen (such as eye-catching price numbers and discount range).

[0015] (3) At the same time, the audio changes synchronously with the visuals, from background music to promotional voice. This dual change of visual and auditory senses can quickly grab the customer's attention and create an atmosphere of "rare opportunity", thereby effectively stimulating the customer's impulse to buy.

[0016] Furthermore: In S5, multimedia tablet terminals in each region are used to scan product labels. If a comparison result of "original price vs. discounted price" is displayed, it means that the current discount is valid.

[0017] The beneficial effects of adopting the above technical solution are: This invention introduces independent self-service barcode scanning and price comparison terminals (i.e., multimedia tablet terminals in each area). The innovation lies in providing a decision-making support step independent of the checkout counter. When a customer scans a product's universal barcode, the terminal, through a specific UI design, forcefully displays a comparison view between the "original price" and the "current real-time discount price." This intuitive data comparison not only eliminates customers' doubts about "whether there is a real discount," but also further stimulates their purchasing decisions by clearly displaying the "savings."

[0018] Furthermore, in S6, the POS service module is also used to record sales data for each time period and feed it back to the central server to realize data feedback and update iteration.

[0019] The beneficial effects of adopting the above technical solution are: This invention overcomes the challenge of data consistency across multiple terminals, achieving a closed-loop data flow from the shelf display and self-service inquiry terminals to the POS settlement terminal. Through atomic broadcast synchronization technology, it ensures absolute consistency between the discount icon on the shelf screen, the value retrieved by the price comparison terminal, and the final settlement price scanned at the checkout counter the instant the pricing strategy is modified in the backend (within milliseconds). This eliminates the risk of customer complaints due to discrepancies in information updates, such as "seeing price A, paying price B," and guarantees transaction accuracy.

[0020] Furthermore, in S6, when a temporary price adjustment is needed, the operations staff can dynamically adjust the system by inputting new instruction packets into the server. The system then re-executes S1-S5 to ensure real-time information synchronization.

[0021] The promotion system for implementing the dynamic discount promotion method for fresh produce as described in this invention includes a central control layer, a basic service layer, and a front-end interaction layer. The central control layer includes a dual-mode strategy engine and a data distribution center. The dual-mode strategy engine includes an intelligent prediction module and a manual control module. The intelligent prediction module is used to automatically predict which products need to be promoted based on the product data to be sold, and generate multi-period discount proposals and instruction packages; The manual control module is used to enable manual input of instruction packages or to update instruction packages after adjusting multi-period discount proposals; The data distribution center is used to distribute instruction packages to the basic service layer and the front-end interaction layer; The basic service layer includes a smart label printing service module and a POS service module; The intelligent label printing service module is used to update the label printing template and prepare to print price tags with discount icons; The POS service module is used to receive and store discount rules and wait for the time to trigger; The front-end interaction layer includes a multimedia tablet terminal, which is used to display preset images or videos in the instruction package and can scan product labels.

[0022] The beneficial effects of adopting the above technical solution are: This invention constructs an intelligent prediction model. This model no longer relies solely on a single time dimension, but comprehensively considers multi-dimensional data such as product shelf life, real-time inventory levels, and historical sales rates. The system can automatically calculate the optimal time and rate for discount activation and automatically trigger price adjustment commands. This innovation realizes a shift from "humans finding goods for discounts" to "system-automatic price adjustments," minimizing the spoilage rate of fresh produce while eliminating the lag of manual operations.

[0023] The beneficial effects of this invention are: The present invention describes a system for short-shelf-life products such as fresh produce and baked goods, which uses intelligent algorithms to automatically formulate promotional strategies and conducts audio-visual promotion and price synchronization through a multimedia display terminal.

[0024] The implementation of this invention can bring the following significant benefits to retail enterprises: (1) Realize the "burden reduction" and automation of store operations: Completely eliminate the repetitive work of store staff changing labels during peak discount periods, and realize unmanned operation of near-expiration discounts.

[0025] (2) Eliminate price disputes and ensure operational safety: The "POS priority synchronization mechanism" effectively ensures the absolute consistency between promotional information and actual cash register prices, thus effectively avoiding customer complaint risks.

[0026] (3) Scientific loss reduction and efficiency improvement: Based on big data dynamic prediction and adjustment, the scrap loss rate of near-expiry products is minimized, while ensuring maximum sales revenue.

[0027] (4) Significantly improve customer experience and conversion rate: Customers can quickly grasp discount information through intuitive "code recognition", which improves shopping efficiency. Attached Figure Description

[0028] Figure 1 This is a structural diagram of the promotion system; Figure 2 This is an example image of a multimedia tablet terminal scanning product labels; Figure 3 Here is an example image of the label; Figure 4 This is an example image of a barcode on a label. Detailed Implementation

[0029] The following are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. The embodiments described below are only for explaining the present invention and should not be construed as limiting the present invention. The scope of protection of the present invention should be determined by the scope of the claims. The embodiments of the present invention are described in detail below. In order to facilitate the description of the present invention and simplify the description, the technical terms used in the specification of the present invention should be interpreted broadly, including but not limited to conventional alternatives not mentioned in this application, as well as direct and indirect implementation methods.

[0030] Example 1 Combination Figures 1-4 This embodiment describes a promotional system for a dynamic discount promotion method for fresh produce, comprising a central control layer, a basic service layer, and a front-end interaction layer. like Figure 1 As shown, the central control layer (Central Server) includes a dual-mode policy engine and a data distribution center; the dual-mode policy engine includes an intelligent prediction module and a manual management module; The intelligent forecasting module automatically calculates based on machine learning and time series models (e.g., automatically suggesting discounts when inventory backlog is detected). It integrates a pricing optimization execution unit and a supply chain feedback suggestion unit, and its specific operating logic is as follows: The machine learning model (the entity responsible for pricing optimization) actively acquires raw input data A (real-time inventory level). ) and original input data B (percentage of remaining shelf life) ), run calculation To calculate the risk assessment index of slow-moving target products When the indicator When the risk level is within a preset range, the model outputs the calculated optimal discount rate. The data distribution center is instructed to encapsulate it into an instruction package; if the indicator If the price is within the safe range, the model outputs an instruction to maintain the original price.

[0031] The time series model (supply chain feedback execution entity): obtains the original historical sales sequence. and corresponding promotion depth tags The model outputs a prediction of future natural demand by performing a denoising operation. When the predicted value deviates from the current inventory configuration, the model performs a feedback action: outputting an optimization instruction to the management end for the production or procurement volume of the next day, thereby achieving negative feedback adjustment of back-end production.

[0032] The manual control module provides a management interface that allows operators to manually create, modify, or forcibly override discount rules (e.g., if the store manager feels that there are fewer customers today due to rain, they can manually change the original 20% discount to 30%).

[0033] The data distribution center: whether the strategy is predicted by the algorithm or modified manually, once it is confirmed to be effective, it is immediately distributed downwards.

[0034] The basic business service layer includes a smart label printing service module and a POS service module; The intelligent label printing service module receives the final strategy from the server and uses it for logical judgments during the printing process.

[0035] POS service module: Receives the final policy from the server and uses it for logical verification during the settlement process.

[0036] Zoned multimedia interactive terminal (Zone Tablet): Deployed in zones according to product type, receiving instructions to switch promotional screens.

[0037] To achieve precise marketing outreach, this system divides the physical space of the store into several logical control zones. Each zone is equipped with an independent "multimedia interactive terminal" and is bound to specific product category rules.

[0038] Section A - Aquatic / Seafood Zone: Products covered: freshly sliced ​​sashimi, live fish, shellfish, etc.

[0039] Characteristics: Extremely short shelf life (usually within hours), highest price change frequency, and strictest requirements for timeliness.

[0040] Terminal content: Plays high-definition videos of seafood catching and sashimi preparation, emphasizing "freshness".

[0041] Section B - Butchery / Meat Zone: Products covered include: Australian steak, black pork, cured meats, etc.

[0042] Characteristics: High unit price, short shelf life (days), color changes affect sales.

[0043] Terminal content: Plays a video of steak sizzling while grilling (ASMR sound effect), emphasizing "taste".

[0044] Section C - Fruits & Vegetables Zone: Products covered: imported cherries, strawberries, leafy greens, and organic vegetables.

[0045] Characteristics: Easily damaged, appearance deteriorates easily, usually cleared out at night.

[0046] Terminal content: Play videos of fruit picking in orchards, emphasizing "natural and healthy".

[0047] Section D - Deli & Bakery Zone: Products covered: sushi, bento boxes, freshly baked bread, and fried food.

[0048] Features: "Daily clearance" products (produced and sold out on the same day), with fixed discount windows in the evening (e.g., after 8:00 PM).

[0049] Example 2 This embodiment, in conjunction with Example 1, discloses a method for dynamic discount promotion of fresh produce, comprising the following steps: S1. Based on the data of products to be sold, automatically predict the products that need to be promoted, and generate multi-period discount proposals and instruction packages; Machine learning model execution process (taking the generation of a pricing strategy for "freshly sliced ​​salmon slices" as an example): Raw data acquisition stage: The machine learning model actively retrieves the raw feature data of the "salmon slices" category from the central server every 30 minutes.

[0050] Input data A (real-time inventory status): Current total inventory Boxes, initial stock quantity Box, from which the water level ratio is calculated. .

[0051] Input data B (time dimension): Current time 19:00, remaining time until closing time (22:00). minute.

[0052] Input data C (sales characteristics): historical average flow rate for the same period Boxes / minute, real-time flow rate for the last 30 minutes Boxes per minute (sales slowed due to rainfall).

[0053] Logical processing and scene determination stage: The model performs the following calculations: The model automatically sets the current weight coefficients. The risk index of unsold inventory was calculated. .

[0054] Scene determination: due to The model determined that the salmon fillets were at risk of spoilage and immediately activated the pricing optimization process.

[0055] Strategy computation: This model uses Gradient Boosting Decision Tree (GBT) to perform computation and output the predicted speed-up ratio of salmon slices at each discount level. .

[0056] Optimal solution output: This model performs a traversal screening to determine the optimal discount rate that satisfies the clearance conditions and minimizes profit loss. .

[0057] Results Output and Hardware Action Guidance: The model outputs the calculated results. And the corresponding visual identifier, "two fish". Action to execute: Instruct the server to generate... The standard instruction package, which includes the effective time of 19:30 and the price reduction indicator "13", is sent to the basic service layer.

[0058] The specific process and considerations for modifying the manual control module: Scenario logic judgment: The manual control module receives feedback from the external meteorological interface that "the probability of precipitation is >80%", and the operators predict that the passenger flow will drop sharply after 20:30.

[0059] Manual intervention: Operations personnel will manually switch the category from "AI-managed mode" to "human-managed mode" and modify the AI-suggested single discount into a three-tiered strategy. Node 1: 19:30, 10% off (icon "a fish"); Node 2: 20:30, 20% off (icon "two fish"); Node 3: 30% off at 21:30 (icon "three fish").

[0060] Time-sensitive protection execution: Once confirmed, the system will mark the instruction package with the "manual protection" label and forcibly block the automatic update request of the machine learning model until the store closes at 22:00.

[0061] Automatic mapping and encapsulation by the system: The moment the administrator clicks "Confirm," the server immediately encapsulates the strategy into a complete instruction package based on the discount rule library: Strategy A: {Time:19:30, Rate:0.9, Icon: A fish, Price drop indicator:12}; Strategy B: {Time:20:30, Rate:0.8, Icon: Two fish, Price drop indicator:13}; Strategy C: {Time:21:30, Rate:0.7, Icon: Three Fish, Price Drop Sign:14}; S2. The server sends the packaged instruction to the smart label printing service module and the POS service module. Issue the instruction: like Figure 2 As shown, the server sends the above "instruction package" to the smart label printing service module and the POS service module first. The smart label printing service module and the POS service module receive the data and store it in their respective databases. Figure 2 Alternatively, a single device can be used to display discount information or play videos. When a user scans a product price tag with a barcode scanner, the result is displayed on the tablet. After 5 seconds, the system returns to the original video playback or discount information, all displayed on the same tablet. Tablet terminals are placed in various areas, and any tablet terminal in any area can scan product price tags to obtain discount information.

[0062] Feedback confirmation (Handshake / Feedback): The smart label printing service module reported: "[Fresh Fish] Printing template has been updated, and the icon is ready." After receiving the discount rules, the near-expiration / category judgment logic is executed in the label printing stage. Based on the product's expiration time and product category information, physical labels containing discount prices or price reduction marks are dynamically printed.

[0063] Tags such as Figure 3 and Figure 4 As shown: The POS service module reported: "The discount rules have taken effect and are awaiting the trigger time." The server determines whether to proceed to the next step if it receives "OK" signals from both ends. (If either end fails, the system will report an error and block the process to prevent accidents.)

[0064] S3. After the server updates the data status, the multimedia tablet terminals in each region obtain the effective instruction packets and display them according to the preset rules; the display end is synchronized and audiovisual ready (Display System Sync); S31, Trigger data retrieval: After confirming that the smart label printing service module and the POS service module are correct, the server updates the data status. The multimedia tablet terminal on the display side periodically pulls the data that has taken effect and caches the data on the multimedia tablet terminal. Even if the network is completely lost, the multimedia tablet terminal will still display the discount information on time.

[0065] S32, Interface Pre-rendering: The multimedia tablet terminal receives data in the background and dynamically generates a "discount comparison table" screen for the corresponding time period: Preparation screen: "Starts at 19:30: One fish = 10% off".

[0066] Preparation screen: "Starts at 20:30: Two fish = 20% off".

[0067] S33, Status is ready: The multimedia tablet terminal displays "Materials are ready" and enters a countdown state.

[0068] S4. Automatically execute the promotional strategies in the instruction package in different time periods; The scheduled video will play before 19:30. At 19:30: the interface refreshes, highlighting the discount information and playing the pre-set promotional audio "One fish = 10% off". At 8:30 PM: The interface refreshes, highlighting the discount information and playing the pre-set promotional audio: "One fish = 10% off", "Two fish = 20% off". S5. The intelligent label printing service module is used to generate labels according to the promotion strategy and affix them to the goods to be sold; Customer interaction and verification. The customer saw on the screen that "Two fish = 20% off".

[0069] Looking down at the salmon label in my hand, it says "[Two fish]".

[0070] After scanning the QR code for verification, the multimedia tablet terminal displays "Verification successful: 20% off".

[0071] Customers don't need to do any calculations; they can quickly confirm the discount simply by "matching the code" (icon matching).

[0072] S6. Use the POS service module to make a settlement, automatically calculate the discount price based on the discount mark in the barcode of the product label and the current time, and ensure that the price is consistent with the price displayed on the multimedia tablet terminal in each region.

[0073] Settlement and data loop; When a cashier scans a product's barcode, the POS terminal immediately sends a query request to the POS terminal server. The POS terminal server determines whether the product is on sale (20% off) based on the price reduction indicator in the barcode and the current time. It then calculates the discounted price and returns it to the POS terminal. The transaction is completed at the 20% discount price, ensuring that the price displayed on the customer's digital signage matches the price settled at the cash register.

[0074] The system records the sales speed at different times (one fish vs. two fish) to revise the AI ​​proposal for the next day.

[0075] This enables a safe, unified, and flexible promotional strategy: Security: There will be no awkward situation where "the screen says there is a discount, but the cashier charges the original price", because the POS terminal must first say "I am ready" before the screen dares to display it.

[0076] Uniformity: The icon is determined at the source (command package) and remains absolutely consistent across all terminals.

[0077] Flexibility: Although the instructions are issued in advance, if an emergency occurs at any time, the administrator can still insert an "emergency correction instruction", and the process will repeat S1-S3 again.

[0078] Key process descriptions: Strategy formulation: Starting with the experience of the operators, the final discount strategy is derived after optimization by the prediction module of the central server.

[0079] Pre-labeling: The meter receives the discount policy and I during manufacturing and prints the I on the price tag.

[0080] Strong consistency: The key innovation of "POS first, terminal later" means that the central server will only allow the terminal to be notified to update after receiving ACK confirmation data from the POS.

[0081] Robustness: The terminal ensures the continuity of promotions through local caching when offline.

[0082] Data closed loop: Sales data is sent back to the central server to support the next forecast.

[0083] After the checkout process is complete, the POS service module will contain raw data A (actual transaction volume). The detailed data of data B (execution discount rate r) and data C (transaction time point t) are sent back to the central server.

[0084] Execution process of time series model (using LSTM model as the execution entity): Data input process: The time series model actively acquires the historical transaction sequence of salmon fillets over the past 30 days. and the corresponding discount depth sequence .

[0085] Internal processing and "denoising" operations: Pulse recognition: This model, through sequence comparison, identified 30 boxes of salmon slices sold between 21:00 and 22:00 yesterday that met the criteria. (30% off deep promotion) conditions.

[0086] Denoising process: The model determines that the sales volume of the 30 boxes contains "non-natural demand impulses" caused by price incentives, performs a removal action, smooths the sequence, and calculates and outputs the natural sales benchmark sequence of salmon slices.

[0087] Demand Forecasting: This model operates on a denoised baseline and outputs a natural demand forecast for the following day. box.

[0088] Output execution and feedback actions: Scenario for judgment: Since the system typically records an initial order quantity of 100 boxes for this category, the predicted value... It is far below the quantity allocated.

[0089] Action performed: The model automatically generates "reduction suggestions" and calculates the number of suggestions to be made. The system collects 5 boxes (5 of which are preset safety coefficients) and sends an optimization instruction to the back-end kitchen production system to "reduce the amount of salmon slices to 80 boxes the next day" to reduce waste losses from the source.

[0090] The core innovation of this invention lies in establishing a closed-loop automated system from product manufacturing and strategy formulation to terminal display and checkout accounting: (1) "Pre-labeling, one-time printing": The visual label indicating the future discount stage is placed in the product manufacturing process, eliminating the need for secondary labeling, which is a breakthrough innovation in the work process.

[0091] (2) "Visual code matching, rapid identification": Innovatively establish price tag indication markings The matching mechanism for terminal display labels solves the technical challenge of enabling customers to quickly identify dynamic discounts on the shelf.

[0092] (3) "POS priority, strong consistency": The original priority synchronization of the POS system is a system-level innovation that solves the long-standing pain point of the price difference between retail promotion information and the cash register system.

[0093] (4) Dynamic discount intelligent prediction: The machine learning model (GBT / deep learning) is used to realize the automation and intelligent optimization of discount strategy, replacing human experience and significantly improving sales and profit margin.

[0094] (5) Supply chain reverse optimization: Using time series models (ARIMA / LSTM), accurate suggestions on production / procurement quantities based on predicted sales are made to minimize the loss of fresh produce due to spoilage.

[0095] (6) Extremely high system robustness: The customer display terminal adopts local caching combined with a timed retrieval mechanism to achieve offline working capability and ensure the continuity of promotional information.

[0096] (7) The “audiovisual-price check” mode switching logic of the multimedia tablet terminal: Two working modes of the multimedia tablet terminal are defined: broadcast mode (playing video / discount information) and interactive mode (camera scanning triggers price check), which realizes the dual functions of advertising traffic and price verification using the same device.

Claims

1. A method of promoting fresh produce sales with dynamic discounts, the method comprising: The method comprises the following steps: S1, based on the commodity data to be sold, automatically predicting the commodities that need to be promoted, generating a multi-period discount proposal, and generating an instruction package; S2, the service end sends the packaged instruction package to the intelligent label printing service module and the POS service module; S3, after the service end updates the data state, the multimedia tablet terminals in each area obtain the effective instruction package and display according to the preset rules; S4, automatically execute the promotion strategy in the instruction package in different time periods; S5, the intelligent label printing service module is used to generate labels according to the promotion strategy and attach them to the commodities to be sold; S6, use the POS service module to settle accounts, automatically calculate the discount price according to the discount mark in the barcode of the commodity label and the current time, and ensure that the price displayed on the multimedia tablet terminal in each area is consistent.

2. A dynamic discounting method for fresh produce according to claim 1, wherein, In S1, the multi-period discount proposal is adjusted and the instruction package is updated according to the actual situation.

3. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S2, the intelligent label printing service module is used to calculate the expiration time matching the discount icon according to the corresponding category and production date of the commodity; The POS service module is used to receive and store discount rules and wait for time trigger; The intelligent label printing service module is set in the weighing area of each area, and the POS service module is set in the cash desk.

4. A dynamic discounting method for fresh produce according to claim 1, wherein, In S2, when the intelligent label printing service module and the POS service module both feedback "ready", the system enters the next step, ensuring that the system data has been synchronized.

5. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S3, the multimedia tablet terminal caches the promotion data in the instruction package locally to ensure that it can still normally display when the network is disconnected; the multimedia tablet terminal pre-generates the discount picture of each time period according to the instruction package; when the multimedia tablet terminal feedback "material preparation complete", it enters the countdown state.

6. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S4, the promotion strategy includes: When it is not the promotion period, the multimedia tablet terminal plays the preset commodity promotion video and background music; When the promotion period arrives, the multimedia tablet terminal automatically switches the interface, stops video playing, displays the high-light discount information full screen, and plays the promotion voice; With the passage of time, information in different discount stages is displayed in turn; multi-stage switching is realized.

7. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S5, the multimedia tablet terminal in each area scans the commodity label, and if the comparison result of "original price vs discount price" is displayed, it means that the current discount is valid.

8. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S6, the POS service module is also used to record the sales data in each period and feedback to the central server, for realizing data back transmission and update iteration.

9. A method for dynamic discount promotion of fresh produce as claimed in claim 1 wherein, In S6, when there is a need for temporary price adjustment, the operator inputs a new instruction package to the service end for dynamic adjustment, and the system re-executes S1-S5 to ensure real-time synchronization of information.

10. A promotion system for implementing a dynamic discount promotion method for fresh produce as claimed in any one of claims 1 to 9, characterised in that, It comprises a central control layer, a basic service layer, and a front-end interaction layer; The central control layer comprises a dual-mode strategy engine and a data distribution center, and the dual-mode strategy engine comprises an intelligent prediction module and a manual control module; The intelligent prediction module is used to automatically predict the commodities that need to be promoted based on the commodity data to be sold, generate a multi-period discount proposal, and generate an instruction package; The artificial management and control module is used for realizing artificial input instruction package or updating instruction package after adjusting multi-period discount proposal; The data distribution center is used for distributing instruction package to the basic service layer and the front-end interaction layer; The basic service layer comprises an intelligent label printing service module and a POS service module; The intelligent label printing service module is used for updating label printing template and preparing to print price label with discount icon; The POS service module is used for receiving and storing discount rules, waiting time trigger; The front-end interaction layer comprises a multimedia tablet terminal, which is used for displaying preset picture or video in the instruction package and capable of scanning commodity label.

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