CCLSS offers a cloud‑native supply‑chain platform that consolidates demand forecasting, inventory optimization, warehouse execution, and last‑mile routing into a single data fabric. By ingesting real‑time IoT sensor data and ERP feeds, its AI/ML models provide probabilistic forecasts and dynamic safety‑stock calculations, while an automated execution engine and traffic‑aware routing reduce inventory excess, labor waste, and transportation costs. The solution integrates via REST, SOAP and EDI with major ERP, TMS and CRM systems and delivers KPI dashboards with alerting for large manufacturers, retailers and 3PLs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with extensive distribution networks often struggle with fragmented visibility across inventory, warehousing, and last‑mile delivery, leading to excess stock, underutilized warehouse capacity, and high transportation costs. These inefficiencies impede throughput and inflate operational expenditures, especially when demand patterns are volatile and data sources are siloed.
Solution
CCLSS delivers an integrated, cloud‑native supply chain platform that unifies demand forecasting, inventory optimization, warehouse execution, and route planning into a single data fabric. The system ingests real‑time IoT sensor feeds and ERP data to maintain continuous inventory visibility, while AI/ML models generate probabilistic demand forecasts that drive dynamic safety‑stock calculations. An automated warehouse execution engine orchestrates pick, pack, and replenishment tasks to maximize space utilization and labor efficiency. For last‑mile logistics, a traffic‑aware routing engine continuously recalculates optimal delivery sequences, reducing mileage and fuel consumption. All modules expose RESTful APIs and EDI connectors for seamless integration with existing ERP, TMS, and CRM systems, enabling enterprises to monitor KPIs through customizable dashboards and receive automated exception alerts.
Target Audience
Primary customers are large‑scale manufacturers, retailers, e‑commerce operators, and third‑party logistics providers that manage multi‑node distribution networks and require end‑to‑end supply chain visibility and automation.
Features
- AI‑driven demand forecasting with confidence intervals for proactive inventory planning
- Real‑time inventory tracking via IoT barcode/RFID readers and automatic stock reconciliation
- Warehouse Execution System (WES) that optimizes pick‑path sequencing, slotting, and labor allocation
- Dynamic last‑mile routing engine that incorporates live traffic, vehicle capacity, and delivery windows
- Native REST, SOAP, and EDI integrations for ERP, TMS, and CRM platforms (SAP, Oracle, Microsoft Dynamics)
- Cloud‑based analytics dashboard with drill‑down KPI visualizations and configurable alerts
- Scalable microservices architecture hosted on AWS/GCP with role‑based access control and end‑to‑end encryption
- Automated exception handling workflow that triggers corrective actions for stockouts, delays, or route deviations