Autonomous Mobile Robots for Real-Time Inventory Scanning
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Solution Overview
Problem
Current inventory management systems lack real-time accuracy and efficiency in tracking stock conditions across multiple stores, leading to issues with product availability and delivery fulfillment, as they do not effectively utilize autonomous scanning technologies to update stock information and redirect delivery associates or users to stores with available products.
Innovation Solution
A method utilizing mobile robotic systems to autonomously scan inventory structures, derive real-time stock conditions, and generate virtual shopping lists, which can redirect delivery associates or users to stores with available products, and update stock information continuously to ensure accurate product availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inventory tracking methods are used, then system complexity is low, but measurement precision of stock conditions deteriorates
Solution Approach 1:
The patent replaces manual mechanical inventory tracking with autonomous mobile robotic systems equipped with sensors and imaging devices. These robots automatically navigate store aisles, scan products, and transmit data to centralized systems, eliminating manual counting while providing real-time, accurate stock condition measurements across multiple stores.
Solution Approach 2:
The patent creates virtual copies of physical inventory data through detailed scanning and imaging. Mobile robots capture images and sensor data of products, which are then processed into digital representations stored in centralized databases. These digital copies enable remote monitoring and accurate tracking of stock conditions without physically accessing each item.
2Measurement precision
If real-time inventory scanning is implemented across multiple stores, then measurement precision of stock conditions improves, but loss of time for data collection increases
Solution Approach 1:
The patent implements scheduled scanning cycles where mobile robots proactively patrol stores and update inventory data before actual delivery events occur. By continuously pre-scanning and maintaining current stock condition databases, the system ensures real-time accuracy is already established when delivery associates need the information, eliminating last-minute data collection delays.
Solution Approach 2:
The patent establishes continuous, automated inventory scanning operations across multiple stores. Mobile robots operate on scheduled cycles, constantly updating stock conditions without interruption. This continuous data collection creates an always-current database that provides real-time accuracy while distributing the time investment over ongoing operations rather than concentrated bursts.
3Productivity
If autonomous mobile robotic systems are deployed in stores, then productivity of inventory tracking improves, but device complexity increases
Solution Approach 1:
The patent designs mobile robotic systems with multi-functional capabilities. Each robot is equipped with various sensors (cameras, barcode scanners, weight sensors), navigation systems, and communication devices that enable it to perform multiple tasks: scanning products, tracking inventory, monitoring store conditions, and transmitting data. This universal design consolidates what would otherwise require multiple separate systems into a single integrated platform.
Solution Approach 2:
The patent implements autonomous mobile robots that self-navigate store environments, automatically identify products, scan inventory without human intervention, and self-transmit data to centralized systems. The robots independently execute their scanning routines, process captured data locally, and autonomously communicate findings, eliminating the need for human operators to manually control each scanning operation.
4Reliability
If continuous stock condition updates are performed, then reliability of product availability information improves, but use of energy for scanning operations increases
Solution Approach 1:
The patent implements scheduled, periodic scanning cycles rather than continuous operation. Mobile robots patrol stores at predetermined intervals, updating stock conditions at regular frequencies. This periodic approach maintains reliable, current inventory information while allowing robots to return to charging stations between cycles, managing energy consumption through rhythmic operation patterns rather than constant activity.
Solution Approach 2:
The patent applies differential scanning strategies where mobile robots focus their scanning efforts on high-priority areas or products with higher turnover rates. Rather than uniformly scanning every product equally, the system adjusts scanning frequency and depth based on local inventory importance, ensuring critical product availability information is maintained with higher reliability while reducing overall energy expenditure on less critical items.
Data Source
AI summary
One variation of a method for managing virtual shopping lists includes: dispatching robotic systems, deployed in store, to autonomously scan inventory structures within this store; deriving current stock conditions of this store based on scan data recorded by these robotic systems; initializing a virtual shopping list for a user; in response to receipt of selection of a first product, from a population of products, isolating a subset of stores, in the set of stores in the geographic region, associated with current stock conditions indicating presence of the first product and products previously added to the virtual shopping list; in response to the subset of stores including at least one store, adding a first identifier of the first product to the virtual shopping list; and specifying a particular store, in the subset of stores, for fulfillment of a set of products on the virtual shopping list.