As a core hub connecting supermarket stores and upstream suppliers, large supermarket distribution centers undertake key functions including commodity storage, sorting, distribution and replenishment. Their operational efficiency directly determines the supply stability of supermarket stores and consumer experience. At present, large supermarkets are faced with multiple challenges: a large number of stores covering extensive areas, a huge variety of commodity SKUs (including thousands or even tens of thousands of items such as food, fresh produce, daily necessities and home appliances), small order batches, high requirements for delivery timeliness, and obvious fluctuations between peak and off-peak seasons. Traditional flat distribution warehouses suffer from low space utilization, high labor dependence, insufficient sorting and distribution efficiency, extensive inventory control and high loss rates, making it difficult to meet the large-scale, refined and efficient distribution needs of large supermarkets. Especially against the backdrop of consumption upgrading, consumers have increasingly higher requirements for delivery timeliness and commodity freshness, and the shortcomings of the traditional distribution model have become more prominent, making intelligent transformation an inevitable trend.Guided by policies issued by nine government departments including the Ministry of Commerce to promote the application of automated AS/RS in the commercial circulation sector, automated AS/RS features intensive space utilization, automated operation, refined management and efficient order fulfillment. It is deeply integrated into the entire workflow of large supermarket distribution centers, enabling intelligent upgrading of the whole industrial chain from commodity inbound, storage, sorting and outbound to distribution scheduling. It effectively solves the operational pain points of traditional distribution centers, provides solid support for large supermarkets to reduce costs, improve efficiency and enhance core competitiveness, and has become the mainstream choice for the intelligent transformation of large supermarket distribution centers. Combined with practical cases of domestic large supermarket distribution centers, this paper elaborates on the application scenarios, core values and implementation adaptation points of automated AS/RS, providing practical references for industrial application and supporting high-quality operation of large supermarket distribution centers.

I. Core Demands and Traditional Pain Points of Large Supermarket Distribution Centers

The core mission of large supermarket distribution centers is to complete the transshipment and distribution of commodities from suppliers to various stores in an accurate, efficient and cost-effective manner. Their core demands focus on four aspects:First, efficient storage, to adapt to the storage needs of multi-SKU and large-batch commodities, improve space utilization and reduce site costs.Second, rapid sorting, to cope with small-batch and multi-batch store replenishment orders, shorten sorting cycles and guarantee replenishment timeliness for stores.Third, precise control, to realize real-time visible inventory and dynamic allocation, reduce stockouts and overstocking, and improve capital turnover efficiency.Fourth, flexible order fulfillment, to adapt to order peak fluctuations in peak and off-peak seasons as well as holidays, and meet differentiated distribution requirements for various commodity categories such as fresh produce, normal-temperature goods and large home appliances, ensuring stable full-scenario fulfillment.Traditional large supermarket distribution centers generally have four major pain points:

1. Low space utilization: Flat warehouses only utilize ground space with limited storage capacity per unit area, and the overall space utilization rate is usually less than 40%. Faced with the growing pressure of SKU storage, continuous warehouse expansion is required, leading to a sharp rise in site rental costs.

2. High labor dependence: Links such as inbound, sorting, inventory counting and replenishment rely heavily on manual work, resulting in low operational efficiency, frequent sorting errors and inventory counting deviations. Labor costs remain high, and it is difficult to cope with order peaks.

3. Insufficient fulfillment efficiency: The traditional mode of manual sorting combined with mechanical handling cannot meet the small-batch, multi-category and multi-batch replenishment demands of stores. Delivery timeliness is hard to guarantee, easily causing store stockouts or delayed replenishment and affecting in-store sales and consumer experience.

4. Extensive inventory and loss control: Lacking precise inventory monitoring means, it is common to face stockouts of fast-selling goods and overstocking of slow-moving items, resulting in serious capital occupation. Meanwhile, improper storage, sorting and transshipment of special goods such as fresh produce lead to high loss rates (the fresh food loss rate under the traditional model generally ranges from 10% to 15%), further increasing operational costs.

II. Core Application Scenarios of Automated AS/RS in Large Supermarket Distribution Centers

The application of automated AS/RS in large supermarket distribution centers is not a simple upgrade of storage equipment, but an intelligent transformation covering the entire process of inbound, storage, sorting, outbound, distribution scheduling and operation & maintenance management. Combined with the characteristics of supermarket distribution, it is mainly applied to the following five key scenarios, fitting the actual industry operation mode with both practicality and operability.

(1) Intensive Storage Scenario for Massive SKUs

Large supermarket distribution centers cover multiple categories including fresh produce, normal-temperature food, daily necessities, home appliances, beauty products, grain, oil and non-staple food, with the number of SKUs reaching tens of thousands. Commodities vary greatly in size, weight and storage requirements — fresh produce requires low-temperature storage, home appliances need anti-collision protection, daily necessities are suitable for bulk storage, and fragile goods demand special protection. By expanding vertical space, automated AS/RS builds high-rise racks of 10 to 30 meters, matched with stackers for vertical cargo access. Its space utilization rate is 3 to 5 times that of traditional flat warehouses, greatly increasing storage capacity per unit area. It perfectly adapts to the massive SKU and high-density storage needs of large supermarkets, meeting incremental storage demands without additional warehouse expansion.Meanwhile, automated AS/RS can flexibly divide storage areas according to commodity characteristics, including normal-temperature storage zone, low-temperature cold-chain zone, fragile goods zone and large home appliance zone. Combined with the WMS warehouse management system, it realizes precise zoned storage and categorized management of different commodities, avoiding damage and deterioration caused by mixed placement.For instance, Xiangyang Haolinju Supermarket built its own logistics distribution center equipped with intelligent racks over 10 meters high, with more than 15,600 storage locations and over 8,000 picking locations capable of storing tens of thousands of products. It realizes intensive storage of multi-category goods, shortening the inventory turnover cycle by nearly one week and improving intelligent operational efficiency by 40% compared with traditional warehouses. The intelligent normal-temperature AS/RS of Sichuan Supply and Marketing Neighbor Smart Cloud Warehouse stands 17 meters high, storing over 150,000 tons of daily supplies such as grain, oil, meat, eggs and milk on a daily basis, driving agricultural product sales exceeding 2.5 billion yuan. Its distribution network covers more than 1,500 chain stores and over 500 upstream supply chain enterprises. After introducing automated AS/RS, Walmart South China Distribution Center increased its storage capacity by three times, fully supporting commodity storage for dozens of local stores and reducing site rental costs by 28%.

(2) Intelligent Sorting Scenario for Store Replenishment Orders

Large supermarket distribution centers serve dozens or even hundreds of stores, and each store’s replenishment orders feature small batches, multiple categories and multiple times. Some community stores only place orders of dozens of items each time covering various categories. The traditional manual sorting mode suffers from low efficiency and high error rates (usually 3% to 5%), failing to meet high-frequency replenishment demands with persistently high sorting costs. Integrating stackers, AGV/AMR robots, intelligent sorters and conveyors, automated AS/RS realizes full-process automated sorting of replenishment orders, greatly improving sorting efficiency and accuracy and eliminating heavy reliance on manual labor.Specifically, after store replenishment orders are placed, the WMS system automatically decomposes order details, and sends picking instructions to the automated AS/RS based on delivery routes and commodity storage positions of each store. Stackers accurately retrieve corresponding goods and convey them to the intelligent sorting area via conveyors. AGV robots distribute goods precisely to designated store pallets according to store numbers and delivery batches with full-process unmanned operation, lowering the sorting error rate to below 0.1%.For example, Xiangyang Haolinju Fresh Distribution Center introduced 57 mobile robots to undertake operations in a thousands-of-square-meter sorting area, connecting with 9 workstations and completing sorting tasks for 550 pallets. Guided by ground positioning codes, it realizes precise commodity sorting, delivering goods to all more than 80 stores in 4 daily batches with a daily fresh food turnover of 300 tons, reaching 600 to 800 tons during major holidays. The automated AS/RS of Cainiao Wuhan Smart Logistics Park adopts collaborative operation of intelligent stackers and AGV robots to achieve rapid commodity picking. Combined with self-developed box packing algorithms, it optimizes commodity placement and raises the full box rate to 80%, significantly improving sorting and packaging efficiency and supporting high-frequency replenishment demands of surrounding large supermarkets. After introducing automated sorting AS/RS, Yonghui Supermarket East China Distribution Center increased its hourly sorting capacity to 12,000 pieces and shortened store replenishment lead time from 24 hours to within 12 hours.

(3) Exclusive Storage and Distribution Scenario for Fresh Commodities

Fresh products are a core customer-traffic category for large supermarkets, accounting for more than 30% of total goods. Featuring perishability, vulnerability and short shelf life, they impose extremely high requirements on storage temperature, sorting speed and delivery timeliness, which have long been operational difficulties for traditional distribution centers and key factors affecting supermarket competitiveness. Targeting fresh commodities, automated AS/RS provides a low-temperature cold-chain AS/RS solution. By integrating intelligent temperature control systems, vacuum packaging equipment, rapid sorting devices and cold-chain conveyors, it realizes constant-temperature storage, rapid sorting and efficient distribution of fresh goods, greatly reducing the fresh food loss rate and guaranteeing commodity freshness.The low-temperature cold-chain automated AS/RS can precisely control storage temperature (0-4℃ for refrigeration and -18℃ for freezing) and monitor temperature and humidity data in real time. It automatically triggers alarms and makes adjustments once abnormalities occur to maintain the freshness of fresh goods. Meanwhile, supported by a rapid sorting mechanism, fresh goods can be sorted quickly after warehousing. Matched with cold-chain delivery vehicles, it forms a full-process cold-chain closed loop from warehouse to store, shortening the transshipment time of fresh goods and controlling the loss rate below 5%.For example, based on its logistics center, Xiangyang Haolinju invested 150 million yuan to build a 42,000-square-meter fresh food distribution center equipped with intelligent cold-chain storage and sorting equipment, achieving efficient processing of fresh goods and effectively reducing loss rates. Sichuan Supply and Marketing Neighbor Smart Cloud Warehouse integrates agricultural product cold storage with intelligent temperature control systems, realizing seamless connection and full-process traceability throughout procurement, inspection, storage and transportation of agricultural products to further guarantee fresh commodity quality. The center is planning the construction of the third phase of a large intelligent automated cold-chain warehouse with a storage capacity of 120,000 tons, capable of meeting the city’s demand for fruits, vegetables and fresh food for more than 70 days during special periods. The cold-chain automated AS/RS of Hema Fresh North China Distribution Center realizes full-process constant-temperature control of fresh goods from inbound to outbound, quadruples sorting efficiency and reduces the loss rate to below 3%, supporting stores’ demands for same-day replenishment and fresh direct delivery.

(4) Precise Inventory Control and Dynamic Allocation Scenario

Inventory management of large supermarket distribution centers directly affects store supply stability and capital turnover efficiency. Traditional inventory management relies on manual counting, accompanied by delayed data, large counting deviations, and coexisting overstocking and stockouts. The proportion of slow-moving inventory in some supermarket distribution centers exceeds 10%, causing severe capital occupation. By connecting with WMS and ERP systems, automated AS/RS realizes real-time data collection, dynamic monitoring and precise control of inventory, thoroughly solving the pain points of traditional inventory management and achieving demand-based inventory planning and dynamic allocation.Leveraging barcode recognition and RFID traceability technologies of automated AS/RS, every commodity is assigned a unique identification upon warehousing, recording real-time information such as inbound time, storage location, shelf life, outbound quantity and affiliated store. Managers can view inventory quantity, turnover speed, slow-moving status and shelf life early warnings of various commodities through a visualized platform, realizing transparent and refined inventory management. Meanwhile, combined with big data algorithms, the system accurately forecasts commodity demand based on store sales data, seasonal fluctuations and promotional plans, automatically optimizes inventory layout, deploys fast-selling goods to areas near outbound ports, and issues timely clearance instructions for slow-moving items to realize dynamic inventory allocation and improve capital turnover efficiency.For example, relying on digital operational capabilities, the automated AS/RS of Cainiao Wuhan conducts automatic ABC classification management of inventory at night, relocating fast-selling goods to exit-near storage positions to shorten operational routes. It improves shelf-loading efficiency by 6 times and outbound efficiency by 3 times, with inventory accuracy reaching over 99.99%. Through intelligent inventory management, Xiangyang Haolinju Distribution Center achieves an inventory turnover cycle of about 30 days for tens of thousands of products, greatly boosting capital turnover efficiency. After introducing automated AS/RS, RT-Mart East China Distribution Center reduced the proportion of slow-moving inventory to below 3% and increased capital turnover speed by 40%.

(5) Emergency Order Fulfillment Scenario for Order Peaks

Large supermarkets face order peak periods such as holidays, store anniversaries, promotional events, 618 and Double 11, when order volume surges sharply (usually 2 to 3 times the daily average). Traditional distribution centers are prone to sorting congestion, delivery delays and labor shortages, affecting in-store sales and consumer experience. Automated AS/RS supports 7×24-hour continuous operation. With an intelligent scheduling system, it can flexibly adjust operational workflows and allocate equipment resources to quickly cope with order peak pressure, increasing production capacity without substantial staff expansion and ensuring uninterrupted store replenishment.For instance, facing intensive logistics demands such as major commercial promotions, the internal operational efficiency of Cainiao Wuhan automated AS/RS is over 60% higher than that of traditional warehouses, capable of achieving more than 3 times daily production capacity to effectively handle order peaks. Through the collaboration of intelligent AS/RS and automated equipment, Xiangyang Haolinju Distribution Center realizes 24-hour uninterrupted operation all year round with an annual distribution capacity of 5 billion yuan, easily coping with holiday replenishment peaks and ensuring stable store supply. During the Double 11 shopping festival, China Resources Vanguard South China Distribution Center processed over 100,000 orders in a single day through intelligent scheduling of automated AS/RS, twice the volume of the traditional mode without any delivery delays, strongly supporting store promotional activities.

III. Core Application Value of Automated AS/RS in Large Supermarket Distribution Centers

Combined with the operational pain points and application scenarios of large supermarket distribution centers, the implementation of automated AS/RS delivers remarkable operational value for large supermarkets in four dimensions: cost, efficiency, consumer experience and management control. Verified by industry practice, it helps supermarkets enhance core competitiveness:

1. Reduce Operational CostsIntensive space utilization cuts warehouse floor area by 30%–50%, greatly lowering site rental expenses. Automated operations replace manual work, reducing labor input by 50%–70% and curbing labor and management costs. Precise inventory control and cold-chain storage for fresh goods minimize overstock and losses, bringing the fresh food damage rate below 5% and the proportion of slow-moving inventory down to under 3%, further optimizing overall operational expenditure.By deploying intelligent AS/RS, Xiangyang Haolinju Distribution Center significantly improved operational efficiency, effectively controlled labor and site costs, and supported the expansion of store scale to more than 80 outlets. After adopting automated AS/RS, Walmart South China Distribution Center reduced comprehensive operational costs by over 25%.

2. Improve Fulfillment EfficiencyAutomated sorting and intelligent scheduling boost order sorting efficiency by 3–5 times and shorten store replenishment lead time by more than 50%, reducing the traditional 24-hour replenishment cycle to within 12 hours and avoiding store stockouts. Supporting 7×24-hour continuous operation, it quickly copes with order peaks, stabilizes delivery timeliness, raises store operational efficiency, and underlies the large-scale expansion of supermarket chains.The intelligent operation mode of Cainiao Wuhan Automated AS/RS increased cargo inbound, outbound and transshipment efficiency as well as overall capacity by over 50%, shortening full-link fulfillment lead time by 20%. After introducing automated AS/RS, Yonghui Supermarket East China Distribution Center expanded its daily service coverage from 50 stores to 100, doubling overall fulfillment efficiency.

3. Optimize Consumer ExperiencePrecise inventory control ensures adequate commodity supply in stores and prevents degraded consumer experience caused by stockouts. Full-process cold-chain storage and rapid distribution for fresh goods guarantee product freshness and elevate shopping satisfaction. Sorting accuracy exceeds 99.9%, eliminating wrong or missing deliveries, further strengthening consumer recognition of supermarket brands and enhancing core market competitiveness.Through full lifecycle traceability and efficient distribution, Sichuan Supply and Marketing Neighbor Smart Cloud Warehouse enables high-quality agricultural and sideline products to reach consumers rapidly, continuously optimizing consumption experience. With the application of cold-chain automated AS/RS, Hema Fresh improved fresh product freshness by 30% and consumer satisfaction by 25%.

4. Enable Refined ManagementReal-time visible inventory data and full-process traceability allow managers to accurately grasp inventory dynamics, optimize inventory layout and procurement plans, and drive the transformation of distribution centers from experience-driven to data-driven operations, improving the scientificity of operational decision-making. Meanwhile, real-time monitoring of equipment operational data enables predictive maintenance, reduces losses caused by equipment downtime, ensures stable operation of distribution centers, and cuts maintenance costs.Digital management supported by automated AS/RS helped RT-Mart East China Distribution Center raise the accuracy of procurement plans by 60% and shorten equipment downtime by 70%, realizing refined and highly efficient distribution center operation.

IV. Implementation and Adaptation Key Points of Automated AS/RS in Large Supermarket Distribution Centers

When introducing automated AS/RS, large supermarket distribution centers shall make scientific planning and reasonable adaptation based on store scale, commodity structure, distribution coverage and budget, avoiding blind investment and ensuring cost reduction and efficiency improvement. Four key points focusing on practicality and implementability are as follows:

(1) Select Appropriate AS/RS Type According to Commodity Structure

Large supermarket distribution centers feature diverse commodity categories with distinct storage and sorting requirements. It is necessary to select a matched automated AS/RS type according to product characteristics to avoid over-specification or insufficient adaptation.

• Ordinary normal-temperature goods such as daily necessities and grain & oil can adopt standard automated AS/RS to focus on efficient storage and sorting while controlling investment costs.

• Fresh goods require low-temperature cold-chain AS/RS, with strict attention to temperature control accuracy (controlling error within ±1℃) and cold-chain connection to guarantee freshness.

• Fragile items and large goods such as home appliances and glass products need heavy-duty AS/RS equipped with high-load stackers and conveying devices plus additional protective installations to prevent cargo damage.

• Small-sized goods with small batches and high turnover such as beauty products and snacks can be matched with multi-tier shuttle AS/RS to improve sorting efficiency.

Meanwhile, rationally plan rack height and storage location quantity according to SKU scale and storage demand to maximize space utilization, and reserve proper storage allowance in consideration of store expansion plans for the next 3–5 years.

(2) Emphasize System Collaboration to Realize Full-Link Intelligent Connection

Automated AS/RS does not operate independently. It needs seamless docking with supermarket WMS (Warehouse Management System), ERP (Enterprise Resource Planning System), store replenishment system, distribution scheduling system and upstream supplier system to achieve real-time data synchronization and process collaboration, preventing efficiency decline caused by data disconnection.For example, store replenishment orders can be directly synchronized to automated AS/RS, enabling the system to complete sorting, outbound and delivery scheduling automatically and realizing full-link automation covering store ordering, warehouse sorting and store receiving. Docking between WMS and ERP synchronizes inventory data with procurement plans and sales data in real time, optimizing procurement arrangements and reducing overstock. Connection with upstream supplier systems triggers automatic inbound reminders and replenishment orders when inventory falls below the safety threshold to ensure sufficient supply. Linkage with the distribution scheduling system optimizes delivery routes based on store locations and cuts distribution costs.

(3) Balance Flexible Adaptation to Meet Multi-Scenario Fulfillment Demands

Large supermarket distribution centers face diversified store types including community stores, flagship outlets, convenience stores and hypermarkets, together with varied order demands and obvious seasonal fluctuations. The design of automated AS/RS must take flexible adaptability into account to cope with fulfillment requirements across multiple scenarios.It can flexibly adjust sorting workflows to adapt to both small-batch multi-category orders and large-batch replenishment orders of different stores. Reserve expansion space to accommodate the growth of store numbers and SKU categories and avoid extra renovation costs. Equip an emergency operation mode that can quickly switch to semi-automatic operation with manual assistance in case of equipment failure or unexpected incidents, ensuring uninterrupted distribution. During promotional events and holiday order peaks, the intelligent scheduling system flexibly allocates equipment resources to expand capacity and cope with surging order pressure.

(4) Strengthen Personnel Training and Improve Operation & Maintenance System

Stable operation of automated AS/RS relies on professional management and maintenance personnel to prevent equipment faults and efficiency losses caused by improper operation or delayed maintenance. Large supermarkets shall strengthen professional training to help staff master AS/RS operation, system debugging and exception handling skills. Training content covers equipment operation, system application, fault troubleshooting and emergency disposal, enabling personnel to independently complete daily operation and maintenance.Establish a sound operation and maintenance system with regular inspection and maintenance plans, assign dedicated personnel for equipment management, and conduct periodic inspection, cleaning, lubrication and calibration for stackers, conveyors, AGVs and other equipment. Reserve core vulnerable parts such as sensors, rollers and bearings to timely handle faults and reduce downtime. In addition, carry out regular training based on virtual simulation scenarios to improve the emergency response capability of maintenance personnel, ensure continuous and stable operation of distribution centers, and fully release the core value of automated AS/RS.In conclusion, as a core carrier for the intelligent transformation of large supermarket distribution centers, automated AS/RS accurately solves traditional pain points in space utilization, operational efficiency, management control and commodity loss through full-process automation and refined operation, providing strong support for supermarkets to reduce costs, raise efficiency and enhance core competitiveness. With increasing policy support and continuous iteration of intelligent technologies, the integration of automated AS/RS and large supermarket distribution centers will deepen further, adapting to more segmented scenarios. Combined with big data, artificial intelligence and digital twin technologies, it will realize smarter scheduling, more precise control and more flexible fulfillment, driving the supermarket supply chain toward higher efficiency, greater flexibility and higher precision. It helps large supermarkets achieve high-quality development in fierce market competition and better meet consumers’ diversified and high-quality demands.