Chain Store Warehouse Solution
Created on 01.06
Application Scenario Introduction
The new retail and consumption models present significant challenges in supply chain and inventory management, which consequently imposes stringent quality control requirements on upstream suppliers. Supply chain digitalization effectively eliminates data silos, while digital management empowers both upstream and downstream enterprises to optimize raw material procurement and decision-making processes, ultimately enhancing the overall efficiency of the supply chain.
The lean management scenario for chain store inventory involves applying lean management principles and intelligent technologies to optimize warehouse operations within retail outlets. Through smart warehousing systems and management solutions, chain stores achieve refined control over inventory levels, supply chain flows, and sales processes. This approach enhances inventory turnover rates, reduces costs, improves service quality, and better meets customer demands.
Scene management pain points
Inaccurate inventory management: Traditional warehouse management methods struggle to accurately track inventory levels, often resulting in overstocking or shortages.
High labor costs: Manual warehouse management requires significant manpower investment, resulting in high costs.
Process inefficiency: Traditional warehouse management processes are cumbersome, resulting in poor inventory flow and low customer service efficiency.
Low inventory turnover rate: Inaccurate inventory management and inefficient processes result in low turnover rates across chain stores, which hinders cash flow and profitability.
Solution Overview
The business management system platform, A LOT management system platform, and PDA front-end operation management system platform interact with and integrate with the tea beverage company's ERP and other system platforms to achieve automated material sensing in chain stores, one-click receiving and dispatching, expiration management, and automated food safety testing operations.
Customer Case
Customer Name | Chain of Tea Beverage Stores |
Trade | Tea-Based Drink |
Manage Materials | Coffee beans, milk, syrup, fruit juice, jam, and other ingredients |
Applicable Products | |
Project Context | A chain tea beverage company has opened multiple stores in several cities across China, with nearly 10,000 store employees. Facing rapid store expansion and declining supply chain efficiency, it seeks an end-to-end digital supply chain solution. |
App effect | The client has now rolled out solutions for over 1,000 stores nationwide, with 100% of new stores fully operational. Network Planning & DC Automation Reduce Logistics Cost by 15% Each store saves over 75 person-hours monthly for inventory checks, receiving goods, and temperature monitoring. A 30% reduction in in-store inventory creates more space to enhance customer experience. |
Customer Value
Develop robust demand forecasting algorithms by leveraging massive industry data, extensive supply chain management expertise, and proven experience in executing projects for top-tier clients. The system integrates internal/external corporate data with IoT device-collected store data to deliver multi-product demand forecasts for enterprises.
It provides multi-dimensional scenario-based demand forecasting, enabling dynamic safety stock management and intelligent replenishment. This builds a flexible supply chain to reduce inventory costs, allowing employees to focus more on sales and improve operational efficiency.
By integrating a multi-tiered distribution network, we establish a fully intelligent replenishment logistics system with closed-loop decision-making and execution, enabling cost-effective and efficient fulfillment of in-warehouse, in-store, or home delivery orders.
Minimize multi-level inventory and improve channel responsiveness.
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