




Powered by AI algorithms and big data processing capabilities, we unify personnel, products, smart coolers, and logistics into one intelligent scheduling system. This enables precise and large-scale equipment operations, significantly improving operational efficiency and reducing costs.
Automatically generates and optimizes replenishment, maintenance, inspection, and merchandising tasks to improve workforce productivity and revenue per unit.
AI monitors execution quality, identify issues in real time, and provide actionable guidance—ensuring consistent standards and higher frontline effectiveness.
High‑throughput, low‑error warehouse operations enabled by automation and intelligent sorting, improving fulfillment efficiency while reducing labor dependency.
Real‑time monitoring of product expiration, equipment safety, and shelf presentation, providing full‑network visibility with minimal manual effort.
Feng-E's centralized algorithm decision model enables second‑level responses across merchandising, inventory, logistics, and supply chain—supporting rapid growth and resilient operations in complex environments.
Product selection, replenishment timing, inventory levels, and logistics scheduling are driven by AI in real time.
Continuously adapts product mix to changing consumption patterns, reducing stockouts and excess inventory.
Automatically triggers replenishment or adjustments as inventory approaches predefined thresholds, maintaining high on‑shelf availability.
Seamless data integration across warehousing, sorting, and delivery ensures faster response and stable fulfillment.
Algorithm-based automation systems eliminate time‑based limitations, enabling unattended, continuous operations with high reliability.
Around‑the‑clock monitoring of product quality, power safety, access control, and merchandising compliance.
Intelligent outreach, automated dispatching, and closed‑loop ticket handling ensure timely customer service.
Real‑time sales and inventory data automatically drive replenishment and assortment adjustments to maximize sell‑through.
Large‑scale IoT infrastructure enables real‑time device status tracking and instant anomaly alerts, reducing operational risk.

By leveraging massive transaction and behavioral datasets, Feng-E builds multi‑dimensional forecasting models that anticipate demand shifts across locations, scenarios, and time periods, enabling highly localized and proactive operations.
Identifies early inflection points in category and SKU performance to optimize assortment strategy.
Analyzes demand variations across different consumption moments and environments to guide smarter merchandising.
Demand predictions directly inform purchasing and delivery plans, improving inventory turnover and capital efficiency.
Differentiated forecasting by city and scenario preferences to support precise, localized stocking.
Powered by scenario‑based intelligence, our platform recognizes differences across locations and customer segments, delivering most relevant products, services, and interactions for every site.
Leverages scenario preferences to enable targeted outreach and diversified promotional campaigns.
Dynamically adjusts product priority and assortment for each smart cooler based on scenario, lifecycle stage, and demand signals—driving higher hit rates for top‑selling items.
Designs tailored product assortments and benefit configurations for enterprise clients, supporting diverse workforce needs and use cases.
Provides key account customization, self‑service platforms, and dedicated operational support to maximize customer lifetime value.
Shenzhen Fengyi Technology Co., Ltd.