Trophis offers a cloud‑native platform that consolidates real‑time data from ERP, TMS, WMS and IoT sources into a unified model for supply‑chain visibility. The platform applies AI/ML analytics to generate demand forecasts, inventory optimization and route‑planning recommendations, delivered through interactive dashboards and automated alerts. It serves manufacturers, third‑party logistics providers and large retailers managing multi‑node distribution networks.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with multi‑tiered distribution networks often rely on siloed ERP, TMS, and IoT systems, resulting in fragmented visibility of inventory, shipments, and demand signals. The lack of real‑time, consolidated data forces manual reconciliation, delays decision‑making, and drives higher fulfillment costs and service variability.
Solution
Trophis provides a cloud‑native supply‑chain visibility and optimization platform that aggregates real‑time streams from ERP, transportation‑management, warehouse‑management, and IoT sources into a unified data model. The platform normalizes and correlates these inputs, then applies AI/ML analytics to generate demand forecasts, capacity plans, and cost‑impact simulations. Users can view interactive dashboards that surface key performance indicators, receive automated anomaly alerts, and execute prescriptive recommendations such as dynamic inventory reallocation or route re‑optimization. An event‑driven micro‑services architecture ensures low‑latency data processing and seamless scaling across global operations. Integration is achieved through RESTful APIs, webhooks, and pre‑built connectors, allowing rapid onboarding without extensive custom development. All data is stored in a multi‑tenant, encrypted environment that complies with industry security standards.
Target Audience
The primary customers are manufacturers, third‑party logistics providers, and large retailers that manage complex, multi‑node distribution networks and require real‑time visibility to optimize inventory and transportation operations.
Features
- Real‑time data ingestion via API, webhook, and IoT sensor connectors for ERP, TMS, WMS, and carrier systems
- Unified data schema and event‑driven processing pipeline that normalizes disparate supply‑chain signals
- AI‑driven demand forecasting and inventory optimization models that update continuously with new data
- Constraint‑based route and load‑planning engine that generates cost‑effective shipment schedules
- Interactive KPI dashboards with drill‑down visualizations, customizable alerts, and exportable reports
- Anomaly detection and predictive alerting for stockouts, delays, and capacity bottlenecks
- Role‑based access control, audit logging, and end‑to‑end encryption for multi‑tenant security
- SaaS deployment with auto‑scaling infrastructure and API‑first integration framework