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Release time：2026-09-18 Visits：18
In the context of the deep integration of the digital economy and the real economy, enterprise warehousing management has shifted from the traditional function of material storage to a core link that connects the upstream supply chain and downstream customer service, directly determining the operational efficiency, cost control level and market responsiveness of enterprises. The traditional manual picking and inventory counting mode is faced with many chronic problems such as low efficiency, high error rates, lagging data and coarse management. It is difficult to adapt to the requirement of fast turnover and multi-SKU management in the modern commercial environment, thus becoming the main bottleneck constraining the digital upgrading of enterprises.
Light-guided picking technology and weight-sensing technology, relying on the advantages of visual positioning and precision sensing respectively, have become important technical carriers for enterprises to optimize warehousing processes, improve inventory accuracy and build digital management systems. They can quickly plug into the existing warehouse management system (WMS) of enterprises without huge factory reconstruction costs, thus realizing the digital and intelligent upgrading of core links such as picking, shelving and inventory counting, and creating tangible economic benefits for enterprises.
This article will deeply analyze the application cases of the combination of the two technologies in different industry scenarios such as manufacturing, e-commerce warehousing, pharmaceutical and food supply chains and auto parts distribution, systematically sort out the implementation paths, operational effects and value creation mechanisms of the technologies, and provide a reference for the digital transformation of warehousing management for more enterprises.
The promotion and application of digital warehousing management systems by enterprises is often driven by the common pain points in traditional warehousing operations. These pain points are ubiquitous across industries and constitute the internal drive for enterprises to introduce light-guided picking and weight-sensing technologies.
In traditional warehousing operations, pickers need to manually check paper documents or handheld terminals to obtain SKU information and storage locations, and then spend a lot of time searching for goods among thousands of shelves. The walking time occupied by searching for goods usually accounts for more than half of the total working time. In addition, enterprises are heavily dependent on experienced workers, new employees need a long period of training to get started, and it is difficult to quickly expand capacity and guarantee efficiency during peak sales seasons, resulting in a persistent lag in order fulfillment.
Manual operations are susceptible to human factors such as fatigue and oversight, which often result in picking errors such as wrong selection, missing selection and wrong placement. In industries with strict compliance requirements such as e-commerce and pharmaceuticals, even a tiny error rate will bring a huge cost of returns, rework and compensation, and even damage brand reputation and customer trust. At the same time, when shelving goods, personnel may place them in wrong locations due to unfamiliarity with SKU rules, making subsequent picking and inventory even more difficult.
In traditional mode, inventory counting is often carried out periodically through manual spot checks, which results in lagged data with significant deviation between the system ledger and the actual goods. Enterprises are unable to grasp inventory conditions in real time and cannot support accurate procurement and production planning. Moreover, it is difficult to accurately track material consumption and calculate inventory costs, resulting in a lack of refined management tools for enterprise cost control.
Light-guided picking technology and weight-sensing technology have complementary functions and work closely with the digital warehousing management system, jointly building an accurate and traceable closed-loop system for warehousing operations.
Light-guided picking shelves are intelligent picking equipment that integrates LED light strips, electronic tags, sensors and system control modules. When the WMS generates a picking task, it automatically matches the target storage location and pushes the task to the picker's operation terminal. After the picker logs in, the electronic tag at the corresponding storage location lights up and displays key information such as SKU number, picking quantity and batch number. The picker only needs to fetch goods according to the light source guidance, scan and confirm, and the system will automatically update the inventory data when the operation is completed.
This visualized guidance mode changes the traditional "people looking for goods" mode to "goods highlighting for people", reduces the time for positioning and verification of goods to the minimum, and largely eliminates human error caused by misreading documents or searching for goods in the wrong locations.
Weight-sensing shelves are equipped with high-precision pressure sensors at each storage location or at the overall structure of the shelf. These sensors are connected to the core data processing system, which can dynamically perceive the weight of goods placed on the shelves with millisecond-level response speed.
At the time of shelf placement, the system automatically records the initial weight of goods, and at that time of picking, inventory or reconsignment, it quickly obtains the actual weight of goods on the shelves, automatically calculates the quantity of goods based on the standard weight of a single SKU, and compares it with the theoretical value to quickly complete the verification. This non-contact sensing mode not only improves the accuracy of inventory counting, but also provides an important basis for the tracking of material consumption and cost control.
Light-guided picking technology focuses on solving the efficiency and accuracy problems of goods search and selection actions at the operational level, while weight-sensing technology focuses on solving the accuracy problems of quantity verification and data synchronization at the inventory control level.
After the two are combined, light-guided picking ensures that goods are located and taken out accurately, while weight-sensing automatically audits the quantity of goods taken out. The deviation between the inventory and ledger data caused by operations is eliminated as far as possible, and the data at each step of picking and shelving is uploaded to the system in real time, forming a complete business closed-loop, greatly enhancing the transparency and traceability of warehousing management.
A large manufacturing enterprise that produces sealing components had over 12,000 types of spare parts and production materials in storage, with materials covering standard parts, customized mechanical parts, production tools, and other categories. Each production workshop needed to frequently pick up materials for on-demand replenishment, and the traditional manual mode had prominent problems.
The enterprise previously adopted paper documents for picking, and it usually took pickers 15 to 20 minutes to find the required components. The average time to complete an order with multiple SKUs was nearly one hour, and material shortage due to slow picking often resulted in production stoppage. To keep the production line running, the enterprise had to maintain a large inventory of raw materials and parts, resulting in a large amount of capital occupation.
The enterprise introduced the "light-guided picking + weight-sensing combination" solution, replacing manual variable counting with automatic weight auditing. When a workshop submits a material requisition, the WMS automatically allocates the nearest storage location and lights up. The picker follows the light guidance to fetch goods and presses the confirmation button. The weight-sensing module will automatically compare the difference between the actual weight after picking and the theoretical weight of the requisition list, thus completing the verification in real time.
The efficiency of order fulfillment was greatly improved by 210%. The average time to complete a multi-SKU order was brought down from 60 minutes to 18 minutes, which sharply reduced the waiting time for material pickup by the production workshop. The picking error rate dropped from 1.4% to 0.01%, and the problem of line stoppage caused by wrong selection and missing selection was essentially eliminated.
More importantly, the automatic verification by weight sensing enabled the enterprise to accurately calculate the consumption rate of raw materials and parts, dynamically adjust procurement plans, optimize the stock structure, and reduce the capital occupation of inventory by 28%. The data of picking and inventory operations was fully connected with the enterprise resource planning (ERP) system, providing reliable data support for production planning.
An e-commerce platform that sells daily necessities faced great pressure in peak promotional periods. There were over 42,000 SKUs in the central warehouse, with an average of more than 280,000 orders shipped per day, rising to 850,000 orders per day during promotional peaks. The emerging capacity shortage and high error rate in traditional warehousing had become the main obstacles to business growth.
The picking operation required each picker to pass through different shelves to select goods for different orders. The walking path was long and the order-splitting workload was huge. During peak periods, it was necessary to increase the number of temporary workers, but the unfamiliarity of temporary workers with goods locations and the fatigue caused by long working hours made the error rate rise again, and inspection and rework further increased the fulfillment pressure.
The enterprise deployed light-guided picking shelves in high-frequency product areas and implemented the "batch picking + order splitting" model. The WMS automatically aggregated orders with the same SKU, lights up the corresponding storage locations in one time, and the picker completes batch selection for all orders within one operation. After the batch picking is completed, goods are split and packaged according to the order list, and weight sensing is installed on the packaging stage to automatically audit the weight of goods in the package to avoid missing items.
The average picking efficiency per person increased from 120 items per hour to 415 items per hour, and the full-chain fulfillment capacity increased by more than 2.5 times during promotional peaks. The error rate dropped from 0.8% to below 0.01%, which greatly reduced the cost of after-sales processing.
The data showed that the average delivery time for consumers was shortened from 3.2 days to 1.3 days. The improvement in fulfillment efficiency enhanced user experience, and the repurchase rate increased by 15%. This case proves that light-guided picking is a cost-effective option for e-commerce warehouses with high SKU density and high order fragmentation degree.
Pharmaceutical and food companies have strict requirements on batch, shelf life, and inventory accuracy due to national regulations and quality management systems. A large pharmaceutical distribution enterprise needed to strictly control the flow of drugs and medical consumables in its warehousing process. The traditional manual counting was easy to cause data errors and made it difficult to control the batch of goods, which brought great risks to quality traceability.
Drugs and food have short shelf lives and strict requirements for storage conditions, so the "first-in-first-out" principle must be strictly followed during picking and outbound. At the same time, the weight of each package is relatively fixed, so inventory deviations will cause significant differences in stock value. It is necessary to achieve precise quantity control and batch management to meet the requirements of supervision and inspection.
The enterprise deployed weight-sensing shelves in the storage area of health products with regular specifications, combined with the electronic batch management system in the WMS. When goods are shelved, the system automatically records the batch, shelf life and standard gross weight of the goods. Before outbound, the weight sensing module quickly completes quantity verification, automatically intercepts expired goods and those in non-qualifying batches, and guarantees the compliance of outbound goods.
The accuracy rate of inventory counting was improved from 93% to 99.9%, completely eliminating the difficulty of reconciling financial ledgers with actual inventory. The error rate caused by quantity miscounting was reduced to below 0.01%, and goods that would have expired and remain in stock were avoided to a greater extent, so that the loss rate due to shelf life dropped by more than 90%.
Full-chain data collection and storage met the traceability requirements of pharmaceutical regulations, and the enterprise easily passed many regulatory inspections and internal audits. The refined management of the cost of goods became possible, and the financial management level of the enterprise was effectively improved.
An auto parts supplier for commercial vehicles stores parts such as large shaft parts and engine accessories. These goods have a single piece of large weight and high unit price, so any picking error or inventory deviation will cause substantial economic losses. The traditional manual counting by estimation is highly inaccurate and inefficient, and the risk of loss is high.
The traditional mode of weighing and registering each piece of goods is time-consuming and prone to omissions. During the logistics and storage process, the risk of loss and damage is high, and the capital and maintenance costs of parts are high. The accuracy of inventory is closely related to the production and supply of the enterprise. Any discrepancy in inventory may cause procurement error or supply interruption.
The enterprise installed light-guided devices on heavy shelves and integrated high-precision weight sensors at the support points of each storage location. Pickers are guided by lights to position goods, while weight sensing automatically audits the actual number of goods taken out or shelved. Data is synchronized with the procurement and production systems to provide a basis for purchasing decisions.
The time for finding parts was shortened from more than 20 minutes to 2 minutes, and the picking efficiency was improved by more than 85%. The inventory error rate was controlled within 0.1%, and the loss of high-value parts was reduced by more than 82%. The accurate inventory data helped the enterprise to optimize the safety stock level, replenish in time, and reduce the cost of emergency procurement. The stable supply capacity increased the trust of downstream OEMs in the enterprise, which is conducive to expanding market share.
The practical cases show that enterprises should reasonably plan their implementation steps according to their industry characteristics and management needs when introducing light-guided picking and weight-sensing technologies to achieve the expected returns.
Enterprises should first dock the two technologies with the existing WMS and other business systems to ensure the synchronization and consistency of data. At the same time, standard operating procedures should be formulated according to the operational characteristics of the equipment, clarifying the boundaries of responsibilities and action standards for pickers, inspection personnel, and maintenance personnel to avoid confusion.
For enterprises with a large warehouse scale, it is recommended to carry out pilot in areas with high-frequency SKUs and concentrated orders to verify the adaptability of equipment and processes, reduce the impact of wholesale retrofitting on daily operations, and accumulate practical experience before promoting in the whole warehouse.
With the accumulation of data, enterprises should regularly analyze the efficiency and error causes of each storage location, dynamically adjust the allocation of frequently picked goods, optimize the arrangement of light guidance modules and the sensitivity of weight sensing, and continuously improve the operational efficiency of the warehousing system in the use process.
The cases of various industries fully prove that light-guided picking technology and weight-sensing technology can provide enterprises with digital warehousing management solutions with high return and strong adaptability. The former solves the problem of efficiency at the operation link, while the latter guarantees the accuracy at the inventory control link, and the complementary combination realizes the closed-loop management of warehousing logistics.
In the context of accelerated digital transformation of enterprises, promoting the application of these two technologies in digital warehousing management systems will help enterprises reduce labor costs, reduce operational quality risks, control inventory capital occupation, and improve supply chain responsiveness. At the same time, with the continuous improvement of intelligent technology and the deepening of enterprise digitalization, the flexible combination of these two technologies will be expanded to more warehousing scenarios, and will become a solid foundation for enterprises to build an agile and resilient supply chain system.
