In the critical period of transformation of the warehousing and logistics industry from labor-intensive to technology-intensive, how to carry out efficient, economical, and implementable digital intelligent transformation of traditional warehouses has become the core proposition faced by many enterprises. Intelligent light picking system (Pick-to-Light System) as one of the most cost-effective warehouse automation solutions, is being more and more enterprises into the core path of digital intelligent transformation. This paper will systematically explain the technical principles, core advantages, implementation path and return on investment analysis of the intelligent pick-to-light system to provide an operational guide for the transformation of traditional warehouses into digital intelligence.

I. Why traditional warehouses must be upgraded with digital intelligence

China's warehousing and logistics industry is undergoing a profound structural change. On the one hand, the continuous explosive growth of e-commerce business on the warehouse's order processing capacity and fulfillment of the time limit put forward unprecedentedly high requirements; on the other hand, labor costs are rising year by year, the difficulty of recruiting professional picking personnel, high warehouse rent, the traditional “sea of people” mode of operation has become unsustainable. According to the data released by China Federation of Logistics and Purchasing, picking operation accounts for 35% to 50% of the overall operating costs of warehouses, and the efficiency of picking directly determines the throughput capacity of warehouses and service level.

Traditional warehouses in the picking process generally have the following pain points: dependence on manual memory location information leads to a long period of newcomers, proficiency differences caused by unstable picking accuracy, multiple simultaneous operations are prone to path conflicts and collision risk, paper documents or PDA scanning efficiency and error-prone, the lack of real-time data leads to a low degree of inventory visualization, and can not achieve accurate performance management and process optimization. These problems may be tolerable when the order volume is small and the SKU types are few, but with the expansion of business scale and the increase of order complexity, these pain points will be dramatically amplified, and ultimately become a bottleneck that restricts the development of the enterprise.

The essence of digital intelligent transformation is to upgrade the warehouse's “people looking for goods” mode to “goods to people” or “lights leading people to” mode through the Internet of Things, artificial intelligence, data analysis and other technological means, thus significantly improving operational efficiency, reducing errors and realizing refined operational management. This will significantly improve operational efficiency, reduce error rates, and realize refined operational management. Among the many available technical solutions, the intelligent light picking system is regarded as an ideal entry point for the digital transformation of traditional warehouses due to its relatively low transformation cost, relatively short implementation cycle, and relatively fast results.

Second, the technical principle and core composition of the intelligent light picking system

Intelligent light picking system is a material picking technology based on visual guidance. Its core concept is to guide operators to complete picking tasks quickly and accurately through electronic display devices and light signals. When the system receives the order instruction, it will automatically calculate the optimal picking path and assign the picking task to the corresponding warehouse position. The electronic tags (also called electronic goods position tags or Pick-to-Light tags) on the assigned positions will light up to indicate the light and display the quantity to be picked, and the operator only needs to arrive at the designated position, pick up the corresponding quantity of goods, and complete the put-away action in accordance with the light guidance. During the whole process, the system collects every picking data in real time through infrared communication or wireless radio frequency technology, and synchronously updates the operation status to the warehouse management system (WMS), realizing the visualization and traceability of the whole operation process.

A complete intelligent light-up picking system is mainly composed of the following core components:

Electronic Position Labeling (Pick Module) It is the terminal execution unit of the system, which is usually installed in each position of each layer of shelves. Each label is equipped with a high-brightness LED light indicator device and a digital display screen, which can simultaneously display key information such as the warehouse code, the number of picks to be made, and the order of picking. High-end models of electronic tags also support red and green dual-color display to distinguish between different operational status or priority, and some products integrate key functions to support confirmation, skip goods, abnormal reporting and other interactive operations. Electronic tags are connected to the system backbone network through the communication base plate (or called tag rack), and adopt standardized wiring and installation methods to adapt to different specifications of the shelf structure.

Controller It is the central brain of the system, which is responsible for receiving order data from the upper system (e.g. WMS or ERP), carrying out task decomposition and path optimization according to the preset picking strategy (e.g. picking by order, batch picking, wave picking, etc.), and sending picking commands to the corresponding electronic tags. The computing power of the controller directly determines the maximum number of labels supported by the system, the concurrent processing capacity of orders, and the complexity of the path optimization algorithm. Modern intelligent controllers usually have built-in edge computing capability, which can complete part of the data processing and decision-making locally, reducing the dependence on cloud servers and network latency.

communications network Responsible for establishing a reliable data connection between components. According to different application scenarios and technology selection, the communication method can be wired (e.g., Industrial Ethernet, RS485 bus) or wireless (e.g., WiFi, Bluetooth Mesh, Zigbee) solutions. Wired solutions are more advantageous in terms of stability and anti-jamming ability, and are suitable for large-scale, high-density deployment of modern logistics centers; wireless solutions are more attractive in terms of deployment flexibility and transformation costs, and are especially suitable for scenarios in which changes to the existing warehouse structure are limited.

software package Including label configuration software, equipment management software, data analysis platform and middleware interface module with WMS/ERP system. Software-level selection needs to focus on compatibility with existing systems, secondary development capabilities, reporting and analysis functions and system scalability. Some vendors provide SaaS-based cloud management platform, supporting unified management of multiple warehouses, remote monitoring and firmware upgrades and other functions, which can effectively reduce operation and maintenance costs.

Three, intelligent light picking system of the four core advantages

Introducing intelligent light picking systems into the warehouse operating environment can bring significant improvements in four dimensions: efficiency, accuracy, training costs and digital management.

Improvement of picking efficiency by more than 50%It is the most intuitive and the effect that enterprises are most concerned about. Because of the elimination of manual searching for goods, checking documents, confirming quantities and other links, operators only need to follow the light guide to pick goods, picking speed is greatly accelerated. According to industry practice data, the use of intelligent light picking system, a single piece of picking time can be shortened from the traditional 8 to 15 seconds to 3 to 6 seconds, the overall picking efficiency improvement is usually between 50% to 150%, the specific value depends on the complexity of the category of the warehouse, the order structure and the quality of the system configuration. Another important source of efficiency improvement is the “most labor-saving path” automatically planned by the system, which avoids the waste of time caused by unreasonable walking routes during manual picking.

Picking accuracy increased to over 99.9%It is one of the core values of the intelligent picking system. Traditional manual picking errors mainly come from visual fatigue, memory bias, mental stress and other factors, while the light picking system, through the “what you see is what you pick” design concept, returns the human decision-making link to the system, and the human only needs to carry out simple pick-and-place actions, which fundamentally eliminates the possibility of human error. Highly accurate picking records also provide a credible data base for subsequent inventory counts and discrepancy tracing.

Reduced new hire training cycle from weeks to days. Traditional warehouses are highly dependent on the operator's memory and experience accumulation of the warehouse location, and new employees often need weeks or even months of training to reach the level of proficiency. The intelligent light picking system digitizes and visualizes the warehouse information, and new employees only need to master the basic system operation to get started, which greatly reduces the company's dependence on skilled workers and significantly eases the operational risks brought by personnel mobility.

Digital and transparent management of warehouse operationsThe system can be used to record every picking action in real time. Every picking action will be recorded by the system in real time, including picking time, picking quantity, operators, warehouse information and other key elements. These data are aggregated to form an operational big data Kanban board, which allows managers to grasp the operational efficiency of each area, each time period, and each personnel in real time, discover bottlenecks, optimize scheduling strategies, and provide objective data support for performance appraisal. The historical data accumulated by the system can also be used in advanced analysis scenarios such as sales forecasting, inventory optimization, and warehouse location adjustment, releasing greater data value.

Fourth, the traditional warehouse digital intelligent transformation of the complete implementation path

The digital intelligence transformation of traditional warehouses based on intelligent light picking systems can usually be advanced in the following five stages.

Phase I: Diagnosis of the current situation and analysis of needs (2 to 4 weeks). Before initiating any technological transformation, a comprehensive and objective assessment of the warehouse's existing operating conditions must be conducted. The core information to be sorted out includes: the building structure of the warehouse (floor height, column spacing, floor loading, etc.), shelf type and layout, the number of existing SKU types and ABC classifications, order structure characteristics (order line distribution, single average SKU number, peak order volume, etc.), the existing WMS / ERP system and data interface, the existing operating procedures and staffing, transformation budget and duration requirements. The outputs of this phase are a detailed diagnostic report on the current situation and a preliminary proposal for the transformation program, which provides a decision-making basis for the subsequent system design.

Phase II: System design and programme refinement (3 to 6 weeks).. Based on the conclusions of the diagnostic stage, the detailed program design of the intelligent lighted picking system is carried out. The design covers: label selection and installation (determine label specifications based on shelf height, warehouse spacing, ambient temperature and humidity, etc.), network architecture design (determine communication protocols, network topology, and equipment layout points), docking program design with existing WMS system (define data interface format, order push mechanism, and status return process), picking strategy configuration (select the most suitable picking mode based on order characteristics), hardware installation and wiring program (assess the impact on existing warehouse operations and formulate a batch construction plan). Picking strategy configuration (selecting the most suitable picking mode according to the order characteristics), hardware installation and wiring program (assessing the impact on the existing warehouse operations, and developing a batch construction plan). The program design needs to be reviewed by the technical team and the business team to ensure that the technical program can effectively match the actual business needs.

Phase III: Hardware deployment and system tuning (4 to 8 weeks). This is the core stage of transformation implementation. According to the pre-established installation program, the installation of electronic tags is fixed, the controller is deployed, the network wiring and other work is completed by region and batch. In the process of hardware installation, special attention needs to be paid to the precise positioning of the label position (positional deviation will directly affect the accuracy of picking), the label and the shelf structure of the firmness of the connection (to avoid long-term use of the loose off), and the construction of the normal warehouse operations during the period of minimization of interference. After the hardware installation is completed, system integration tests are conducted, including label function tests, communication signal tests, data interaction tests with the WMS system, etc., to ensure that the components work together properly.

Phase IV: commissioning and optimization iterations (2 to 4 weeks)The system needs to go through a trial period to fully validate and optimize it before it goes live. Before the system goes live, it needs to go through a trial period for full validation and optimization. Trial operation usually starts from a single region or a single line of business, and gradually expands to the whole warehouse. During the trial period, it is necessary to focus on the following indicators: the actual improvement of picking efficiency, whether the picking accuracy rate meets the expectation, the stability and failure rate of the system, the degree of adaptation of the operators to the new system and their feedback. The data consistency with the WMS system also needs to be verified to ensure that the difference between the book inventory and the actual inventory is within the controllable range. According to the problems found in the trial run, the system parameters, picking strategy, label configuration, etc. are continuously optimized until the indicators reach the expected goals.

Phase V: Formal launch and continuous operationThe system has passed the acceptance stage. The system passes acceptance and enters the formal operation phase. In this phase, the focus shifts to daily operation and maintenance and continuous value mining. Operation and maintenance work includes: establishing equipment inspection and fault response mechanism, formulating spare parts inventory strategy, regular system calibration and software update, monitoring system operation data and preventive maintenance. In terms of value mining, efficiency analysis, layout optimization, and category management can be carried out based on the operational data accumulated by the system, so that the investment in digital transformation can continue to generate returns.

V. Transformation cost analysis and return on investment measurement

One of the biggest concerns for organizations when deciding whether to introduce an intelligent light picking system is the input-output ratio. A generalized cost analysis and return measurement framework is provided below for reference.

Main cost componentsThis includes hardware procurement costs, software licensing or development costs, implementation service costs, and operational impact costs that may arise during the retrofit period. Hardware costs, the unit price of electronic space labels according to different functional configurations usually ranging from 80 yuan to 300 yuan, a set of standard configuration to support 5000 warehouse hardware investment in the standard configuration of the system in the range of about 400,000 to 1.2 million yuan. Software costs, such as the choice of manufacturers of standard platforms are usually charged by the number of tags or warehouse size of the annual fee, such as customized development will require a one-time investment in development costs ranging from 100,000 to 500,000 yuan. Implementation service costs cover program design, project management, installation and commissioning, training support, etc., according to the complexity of the project is usually in the range of 100,000 to 300,000 yuan.

Sources of return on investmentThis is reflected in three main areas. First, labor cost savings. Assuming that before the transformation of the average daily picking volume of 5,000 single, each single takes 2 minutes to complete the picking needs 15 operators, the system on-line manpower efficiency to improve the 80%, the required personnel down to 8, according to the calculation of the annual labor cost of 80,000 yuan, the annual savings of manpower expenditures of about 560,000 yuan. Secondly, the error loss is reduced. The direct loss (misdispatch, omission, customer complaint processing) and indirect loss (customer satisfaction decline, store DSR score damage) caused by picking errors are often hidden but sizable data. After adopting the light picking system, the accuracy rate is increased from 97% to 99.9%, which means a reduction of about 100 incorrect orders per day for a warehouse with an average of 5,000 orders per day, and an annual reduction of about 1.8 million yuan in losses, estimated at an average loss of 50 yuan per incorrect order. Third, the warehouse ping efficiency improvement. Higher picking efficiency means that the same area can support a larger throughput, or can use a smaller area to meet the same business needs, thereby reducing warehouse rent or delaying the expansion investment.

Comprehensive calculations, a set of medium-sized intelligent light picking system project, usually in 1 to 2 years can realize investment recovery. It should be noted that the above measurement data for the industry's typical value range, the actual rate of return by the enterprise order size, personnel cost level, system configuration program, transformation scope and other factors, it is recommended that enterprises in the decision-making process before combining their own situation for detailed calculations.

VI. Key considerations in the implementation process

The successful landing of the intelligent light picking system is not completed only by equipment procurement and installation and commissioning, the following points are key matters that require special attention during the project implementation.

System selection to match business scenarios. The solutions of different manufacturers differ in technical routes, functional characteristics, and applicable scenarios. Heavy-duty racking and light-duty racking, room temperature warehouse and cold chain warehouse, whole case picking and split picking and other different scenes have different requirements for label specifications, protection level and installation methods. It is recommended to conduct sufficient product testing and on-site demonstration during the selection stage to avoid the embarrassment of “advanced technology but mismatched scenes”.

The quality of the interface with the WMS system determines the upper limit of the system. Intelligent light picking system is essentially an execution terminal, and its value play is highly dependent on the data synergy with the upper system. The design of the docking program needs to consider details such as the real-time nature of order data push, the handling mechanism of abnormal situations, and the consistency guarantee of inventory data. It is recommended that the technical specifications of the docking interface, data verification rules, and protocols for handling abnormal scenarios be specified in the project contract.

Step-by-step implementation is better than one step. For warehouses with a large scale of transformation, it is recommended that a phased construction strategy be adopted. You can first select a demonstration area for pilot validation, accumulate experience, train the team, and test the effect before gradually expanding to the whole warehouse. This approach can effectively control the project risk, but also leave a buffer time for the team to learn and adapt.

Emphasis on training and feedback for front-line operatorsThe ultimate users of the system are the frontline operators of the warehouse. The ultimate users of the system are the front-line warehouse operators. If the training is not in place or the design is not humanized, the more advanced system is difficult to play the due effect. In the training design should focus on practical rather than theoretical, in the system interface interaction design should also give full consideration to the operating habits of front-line personnel and cognitive characteristics. A smooth feedback channel should be established after the system is put on line to collect and process the experience of frontline personnel in a timely manner and continuously optimize the system's usability.

VII. Applicable Scenarios and Limitations of Intelligent Lighting Picking System

Any technical solution has its scope and limitations, and the intelligent light picking system is no exception.

Typical application scenariosThese include: e-commerce warehouses where split picking is the mainstay, apparel and footwear warehouses with a wide variety of SKUs but fewer quantities of each, pharmaceutical warehouses with high picking accuracy requirements, warehouses of 3PL service providers with complex order structures and high timeliness requirements, warehouses of first- and second-tier cities where labor costs are high, and warehouses of growing companies that need to quickly increase capacity but have relatively limited budgets.

Scenarios requiring careful assessmentIncludes: the goods volume or the weight is big causes the single time to carry the quantity to be limited the warehouse (the light to guide the efficiency advantage may by the big thing carries itself to offset), the SKU kind extremely few but the single SKU quantity extremely big warehouse (the electronic label management cost may exceed the efficiency benefit), the warehouse environment exists the strong electromagnetic interference or the extreme temperature and humidity scene (needs to select the industrial grade protection specification equipment), as well as the business volume Smaller and growth expectations of the warehouse (investment payback period may be too long).

Trends in current technologyIt is also affecting the boundaries of the system's applicability. In recent years, the integration of technologies such as “light picking” and “voice picking”, “AR-assisted picking”, “AMR autonomous mobile robot cooperative picking”, etc. is becoming a new trend. The integration of "light picking" with "voice picking", "AR-assisted picking", "AMR autonomous mobile robot picking" and other technologies is becoming a new trend. Through the synergy of multi-technology means, the application scope of the system can be further expanded to provide more complete solutions for more complex business scenarios.

VIII. Frequently Asked Questions (FAQ)

Q: What are the requirements of the intelligent light picking system for the network environment of the warehouse? A: The system requires a stable network connection to ensure data communication between the controller and the tags, as well as order data interaction with the WMS system. For wired program, it is recommended to deploy independent industrial network, and office network physical isolation to ensure the communication quality. For the wireless program, the need for a comprehensive assessment of the wireless signal coverage of the warehouse, if necessary, additional wireless access points to eliminate signal blind spots. Some systems support local offline mode, which can still maintain the basic operation capability when the network is interrupted.

Q: existing warehouse shelves can be directly installed electronic tags? Or do I need to replace the shelves? A: In most cases, the existing shelves can be directly installed electronic tags. Electronic tags are usually fixed by screws, magnetic mounting or snap-on mounting and other ways to connect with the shelf beams or laminate, without major changes to the shelf structure. But need to assess the shelf height, spacing, load-bearing capacity to meet the label installation requirements, as well as whether the label installation will affect the normal operation of access operations.

Q: If there is an outage when the system goes live, will it result in a complete warehouse shutdown? A: Mature manufacturers of the system usually has a perfect fault tolerance and degradation mechanism. Electronic tags support a single point of failure isolation, a single tag damage will not affect the normal operation of other tags. Controller is usually redundant configuration, the main backup switching time within seconds. The system software level should also have fault detection and alarm functions, operation and maintenance personnel can quickly locate and dispose of faults. For high-availability requirements of the scenario, you can consider deploying an emergency spare parts library to ensure that critical spare parts are in place within 4 to 24 hours.

Q: What is the typical lifespan of a smart light picking system? A: the design service life of the electronic label is usually more than 5 to 8 years, the actual service life is affected by the use of the environment, maintenance conditions, brand quality, etc. The brightness of the LED light source will be gradually attenuated with the use of time, usually after 3 to 5 years may need to consider the bulk replacement of the light source module or the overall replacement of the label. The service life of core equipment such as controllers is usually longer, up to 8 to 10 years or more. For software systems, vendors usually continue to iterate features and security updates, and it is recommended to maintain a maintenance partnership with the vendor.

Q: Does the system support direct interface with the existing ERP system of the enterprise? A: Intelligent light picking systems are usually interfaced with WMS/ERP systems through standard API interfaces or middleware, rather than directly interfacing with ERP systems. Directly interfacing with ERP may face problems such as high complexity of data interface, high coupling of order logic, and high risk of system upgrade compatibility. The recommended architecture is to interface the system with WMS, and WMS is responsible for data synchronization and business logic processing with ERP. This approach can maintain a clear boundary between the systems, but also facilitate the subsequent maintenance and upgrading.

IX. Summary and recommendations for action

Intelligent light picking system provides a cost-effective and feasible path for the digital transformation of traditional warehouses. It replaces manual memory with light guidance, paper documents with real-time data, and manual work judgment with system decision-making, which can achieve significant improvement in picking efficiency and accuracy in a short period of time, and at the same time accumulates valuable operational data assets for the enterprise, laying the foundation for the subsequent more in-depth digital transformation.

For enterprises that are considering the transformation of warehouse digital intelligence, it is recommended to start from the following three directions: first, in-depth research on the market mainstream vendors' product solutions and technology routes, focusing on the degree of match with their own business scenarios as well as the vendor's implementation of the service capabilities; second, systematic diagnostics and analysis of the current status of their own warehouse operations, and clear transformation of the core objectives and key constraints; and third, the development of a phased transformation plan. Third, develop a phased transformation plan, starting from a small pilot to verify the effect, and then gradually expand the scope of application after accumulating experience.

Digital intelligence transformation is not a one-time equipment procurement, but a continuous optimization and iterative process. The introduction of the intelligent light picking system is only the starting point, and subsequent continuous investment in data application, process optimization, and organizational capacity building is needed to truly release the full value of digital intelligence.