Stowing Location Recommendation System for Fulfillment Centers
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Solution Overview
Problem
Conventional systems for stowing inbound products in fulfillment centers are inefficient due to the need for workers to search for available locations, leading to delays in shipment and delivery, especially in large facilities where finding an empty location can take significant time.
Innovation Solution
A computer-implemented system that recommends multiple stowing locations within a zone based on predetermined rules, such as SKU restrictions, expiration dates, and risk levels, allowing users to select the closest available location for stowing, thereby optimizing the stowing process and reducing delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a fixed location is designated for stowing each inbound product, then organization of inbound products is improved, but the time required for workers to find and stow products increases
Solution Approach 1:
The system pre-calculates and provides multiple recommended stowing locations to workers before they arrive at the fulfillment center or before the stowing task begins. This preliminary action eliminates the need for workers to search for locations during the stowing process, resolving the contradiction between having fixed organized locations and minimizing search time.
Solution Approach 2:
The system dynamically generates multiple location recommendations based on real-time factors such as worker location, product characteristics, storage capacity, and proximity to picking areas. This dynamic approach allows the fixed location requirement to adapt to changing conditions, providing organized yet flexible stowing guidance that minimizes worker travel time.
2Volume of stationary object
If the fulfillment center is made larger to accommodate more products, then storage capacity is improved, but the time required for workers to locate empty stowing positions increases
Solution Approach 1:
The system acts as an intermediary between the large fulfillment center environment and the worker, providing filtered location recommendations that consider the worker's current position and the product's requirements. This intermediary function eliminates the need for workers to mentally map or physically search through large facility spaces, resolving the contradiction between increased storage capacity and location finding time.
Solution Approach 2:
The system provides localized location recommendations specific to each worker's position and task requirements, rather than requiring workers to know or search the entire facility. Each recommendation is tailored to the local context, enabling workers to quickly identify appropriate stowing locations even in large facilities with extensive storage capacity.
3Productivity
If multiple location recommendations are provided to users, then stowing efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of location selection into multiple simplified recommendations, each representing a viable stowing option. By breaking down the decision-making process into discrete, evaluated alternatives rather than requiring workers to assess all possible locations, the system improves stowing efficiency while managing complexity through structured segmentation of the problem space.
Data Source
AI summary
The present disclosure provides systems and methods for providing stowing location recommendation, comprising a memory storing instructions and a processor configured to execute the instructions to receive, from a user device associated with a user, a request for a location recommendation for stowing an inbound product, determine a plurality of locations to recommend within a zone, sample, based on a predetermined rule, a number of locations for stowing the inbound product, and display, via the user device, the sampled number of locations to the user for stowing the inbound product. The processor is also configured to receive, from the user device, a selection of a stowing location among the sampled number of locations and modify a database to assign a location identifier associated with the selected stowing location to the inbound product.