BangQi Technology has provided an intelligent agent solution for the cable enterprise, with AI product dynamic quoting personnel, AI channel data analysts, and AI intelligent order personnel as the core. Based on multi-agent collaboration technology, it has achieved a "automatic perception intelligent judgment execution closed loop" of business flow.

• AI Product Dynamic Quoter
• AI Channel Data Analyst
• AI-powered Order Assistant

Deployment details: Autonomous Guided Vehicles (AGVs) in a hidden setup + WMS/WCS system + Automated picking at line-side workstations

Implementation results: SKU mismatch rate reduced by 90%, line-change speed doubled, and overall logistics costs slashed by 45%.

Deployment components: Overhead storage and retrieval system + aerial conveyance + line-side flexible material replenishment + LDS scheduling system

Implementation results: Workforce reduced by 70%, cycle time improved by 35%, and daily average material delivery accuracy reached 99.8%.

Scene pain points: High GSP requirements, high error rate in manual picking, and significant challenges in batch management.

Deployment plan: Establish an upper-level isolated smart storage zone, set up high-frequency medicine picking stations at the lower level, and integrate an automated sorting system.

Application Results: Batch traceability compliance rate reached 100%, order-picking error rate dropped to below 1‰, and labor savings in picking operations amounted to 4 shifts.

Scene pain points: The original manual warehouse area suffers from low space utilization, long material-handling wait times, and insufficient manpower for nighttime operations.

Deployment plan: High-level automated vertical warehouse + underground robotic operations in the lower picking area + integrated WMS scheduling system

Application results: Space utilization increased by 80%, production lead time reduced by 60%, and warehouse efficiency improved by 50%.

Application scenario: Automated unpacking of pharmaceutical raw materials followed by sorting before feeding, requiring support for cleanroom environments and batch control.

Deployment details: Deploy a single-arm collaborative robot, a cleanroom workstation, image recognition, and a barcode scanning & traceability system.

Implementation results: Labor costs reduced by 70%, enabling automatic upload of single-batch operations to the MES system and ensuring GMP compliance.

Application scenario: Unpacking and sorting of auxiliary materials at the front end of the electrode sheet line, including bagged materials, box-packed paper cores, rolled materials, and more.

Deployment details: Deploy a dual-robot system, AI vision, and sensing system, integrated with WMS/WCS systems for coordinated control.

Implementation results: Average unpacking and picking efficiency doubled, while the contamination rate dropped by 95%, enabling the replacement of a 3-person workstation with zero staff.

Customers are facing challenges:

Strict compliance required: Must adhere to GSP standards and ensure full traceability of drug batch numbers and expiration dates throughout the entire process.

High-frequency split-order picking: Numerous pharmaceutical SKUs result in a high proportion of split orders.

Timeliness and Safety: For demands like "two deliveries per day," rapid response is essential, especially during the pandemic.

Deployment content: High-density storage and picking/sorting for both large and small vehicles;

Customers face challenges:

Order volumes fluctuate dramatically—during major shopping events like "618" and "Double 11," orders can surge more than fivefold, requiring rapid expansion of warehousing capacity.

Multi-category management: With complex SKUs spanning mother & baby products, personal care, beauty items, and more, efficient picking and inventory management are essential.

High time sensitivity required: Needs to reach consumers quickly, with a strong emphasis on efficient picking.

Deployment details: Goods-to-person/rack-to-person, dense storage and picking using both large and small carts;

Customer pain points: The warehouse is far from the production line and features numerous turns, causing AGVs to frequently stall, collide, and operate with low scheduling efficiency.

Solution: BangQi LDS deploys RCS scheduling module, path optimization algorithm, and anomaly prediction system.

Realizing value:

AGV average task completion time reduced by 25%

Congestion levels have dropped to below 2%.

Cost recovery period < 9 months

Customer pain points: An average of 2,000 material delivery tasks per day—manual delivery methods could no longer keep up with the required pace, leading to frequent errors and missed deliveries.

Solution: By introducing the Pound Flag LDS, the customer's production system connects to the MES signal source, enabling AGVs to automatically retrieve materials and operate continuously around the clock.

Realizing value:

Artificial delivery positions reduced by 70%

Production line takt time achievement rate improved to 98%.

Exception alarm response time < 3 seconds

Application scenarios: Automatic unpacking and sorting of pharmaceutical raw materials before feeding, requiring support for cleanroom environments and batch control.

Deployment details: Deploying a single-arm collaborative robot arm + cleanroom workstation + image recognition + barcode scanning and traceability system

Implementation results: Labor costs reduced by 70%, enabling automatic upload of single-batch operations to the MES system and ensuring GMP compliance.

Application scenarios: Front-end unpacking and sorting of auxiliary materials for the electrode line, including bagged materials, box-packed paper cores, rolled materials, and more.

Deployment details: Deploying a dual-robot system combined with AI vision and a sensing system, integrated with WMS/WCS system control.

Implementation results: Average unpacking and picking efficiency doubled, while the contamination rate dropped by 95%, enabling a transition from a 3-person operation to a fully automated, zero-person setup.

Deployment details: Autonomous robotic system + pneumatic conveying + robotic arm picking + WMS system integration with MES

Application effect: On-line delivery accuracy reaches 100%, material replenishment delay drops by 95%, manual workstations are reduced by 70%, and process transformation efficiency improves by 40%.

Deployment details: Platform-based automated unloading + put-away-to-pick + OHT aerial transport + AGV logistics robots + integrated smart scheduling system

Application effect: Human resource savings of 12 shifts, a 30% improvement in takt time, reduced line logistics response time to within 60 seconds, and system operational stability exceeding 99.5%.

Project pain points: Traditional warehouse space is underutilized, picking efficiency is low, and manual operations lack consistency.

Solution: Implement high-bay racking + goods-to-person picking + automated palletizing + WCS coordinated control system

Project outcomes: Picking efficiency improved by 60%, order accuracy increased to 99.8%, and safety incident rates dropped by 95%.

Project pain points: Frequent transportation of raw materials and packaging materials, low efficiency in manual delivery, and frequent workplace injuries.

Solution: Deploy AGVs + automated in-line replenishment + WMS system + automated vertical warehouse

Project outcomes: Labor costs reduced by 55%, line downtime decreased by 90%, and space utilization improved by nearly 50%.

Pain point: Frequent transportation of chemical reagents leads to a high error rate in manual handling, coupled with significant regulatory pressure.

Solution: Deploy the WCS control system, pneumatic conveying, and a forklift-style AMR system to enable secure, enclosed transportation of hazardous materials; paired with an AI-powered vision system for seamless inbound and outbound inventory verification.

Results: The incidence of safety incidents has dropped to zero, material traceability has reached 100%, and operational efficiency has improved by 60%.

Pain point: Manual handling of high-precision device materials is inefficient and carries low safety standards, while the finished product flow lacks traceability.

Solution: Introduce an AGV automated handling system, a WMS smart warehouse platform, and a dedicated intelligent storage area for hazardous materials, enabling full-process control from raw materials to semi-finished products to finished goods.

Results: Staff reduced by 60%, misalignment rate decreased by 90%, and logistics efficiency improved threefold, ensuring compliance with the stringent controls and strict delivery deadlines of defense-related projects.

Project Scope: Deployment of an automated bin-based storage and retrieval system, line-side automated delivery, and an AGV intelligent dispatching system.

Problem-solving: The production line has a fast cycle time, making it impossible for manual delivery to keep up—and this easily leads to line stoppages.

Implementation results: Delivery response time was reduced by 50%, the average time from raw material arrival to production launch was cut down to one-third of its original duration, and the system maintained a stable operation rate of over 99.8%.

Project Scope: Building a full-process logistics system that includes PCBA raw material receiving, finished product warehousing after production line completion, as well as operations such as forklift handling, storage and retrieval, and visual quality inspection.

Addressing the issues: Frequent manual material handling, low transfer efficiency, and chaotic inventory management along the production line.

Implementation results: Logistics efficiency improved by 60%, manual labor input reduced by 65%, line-side error rates dropped by 90%, and cycle time output became more stable and seamless.

Project pain points: High GSP regulatory requirements, high labor costs, and difficulty managing order peaks.

Solution: Deploy smart shelving, handling robots, and a WMS management system to achieve fully automated operations—from inbound logistics and storage to outbound delivery.

Project outcomes: Manual labor reduced by 65%, picking efficiency improved by 80%, 100% coverage of batch traceability for pharmaceutical products, and overall enhanced GSP compliance.

Project pain points: Numerous product categories and batches, complex operational processes, leading to low manual picking efficiency and a high error rate.

Solution: Deploy an AS/RS automated warehouse system, a high-speed sorting system, and a goods-to-person system, complemented by end-to-end traceable management through WMS + WCS.

Project outcomes: Order picking efficiency improved by 60%, error rate reduced to 0.01%, warehouse utilization increased by 40%, and cold-chain product category management achieved 100% compliance.

Deployment details: Intelligent management of research materials + end-to-end data traceability across production processes + an automated valuation system for the value chain.

Application outcomes: The research task cycle has been shortened by 20%, boosting researchers' time utilization by 45%, while ensuring full-chain process transparency and compliance.

Deployment details: Automated stereoscopic warehouse + intelligent distribution system + equipment data integration platform + operational safety monitoring module.

Application outcomes: Material allocation efficiency improved by 60%, operational safety incidents decreased by 90%, and workforce optimization resulted in a 30% reduction in staffing.

Project Background: This customer is one of the top 10 Chinese cross-border e-commerce export companies. Facing challenges such as frequent overseas bestsellers, dense order volumes, and complex SKUs, they urgently need to build a high-density, highly efficient, and flexible overseas warehouse system.

Deployment Plan: BangQi has designed and deployed a smart overseas warehousing system spanning over 10,000 square meters, featuring automated vertical storage systems, goods-to-person picking, material handling carts, and an integrated WMS/WCS platform.

Project Background: E-commerce orders come in multiple batches and small quantities, requiring rapid response and high accuracy.

Implementation plan: Construct a high-bay racking system, an intelligent sorting line, an order-routing optimization system, and integrate them with a WMS-based scheduling platform.

Implementation results: Order fulfillment rate reached 98.7% within 24 hours, with a picking accuracy of 99.95%, while manual labor input was reduced by 55%.

Project Background: With an average annual throughput of hundreds of millions of parcels, traditional manual picking methods are severely limiting efficiency.

Implementation plan: Deploy an automated stereoscopic warehouse, AGV-based material handling, goods-to-person picking, and an intelligent sorting system, with the entire system integrated into SF Express's logistics platform.

Implementation results: Warehouse space utilization increased by 80%, order picking efficiency improved threefold, overall costs were reduced by 35%, and the RDC's daily processing capacity surged to 2.5 times its original level.

Project Background: Long delivery routes across multiple facilities, a large workforce, and delayed response times.

Solution: Deploy an autonomous system across the factory premises, integrating automated loading and unloading at platforms with seamless task scheduling for transit operations.

Project outcomes: 24/7 operational coverage reached 99.8%, transfer efficiency improved by 60%, and labor costs were reduced by over one million.

Solution: Introduce AMR flexible delivery robots and implement a collaborative pull system integrating WCS and LDS, seamlessly connecting line-side operational workflows.

Solution: Introduce AMR flexible delivery robots and implement a协同 (collaborative) pull system integrating WCS and LDS, seamlessly connecting line-side operational workflows.

Project outcomes: The misalignment rate of line-side materials has been reduced to 0.1%, while labor costs have decreased by 60%, ensuring stable and consistent production pacing.