The platform provides AI‑driven supply‑chain orchestration for direct‑to‑consumer brands, combining demand forecasting, inventory positioning, and predictive tariff modeling to reduce excess stock and cost volatility. It integrates with ERP, WMS and customs systems and offers a unified control‑tower dashboard for real‑time visibility, exception handling, and performance benchmarking.
Funding
Funding not disclosed
Founders
Product
Problem
Direct-to-consumer (D2C) brands face fragmented vendor networks, inaccurate demand forecasts, and manual coordination that lock up working capital in excess inventory. Sudden tariff changes and reliance on single-source suppliers further increase cost volatility and risk, while disconnected systems force teams into constant firefighting.
Solution
The platform delivers AI‑driven supply chain orchestration for D2C operations, continuously modeling demand, supplier capacity, lead times, and trade policy impacts. It automatically positions inventory across geographies to minimize holding costs and maximizes service levels. Predictive tariff modeling suggests alternative sourcing strategies, reducing tariff exposure by up to 60 %. A unified control‑tower dashboard provides real‑time visibility of orders, shipments, and compliance status, enabling rapid exception handling and performance benchmarking. The solution integrates with existing ERP and logistics systems, allowing brands to shift from reactive firefighting to proactive, data‑centric supply chain management.
Target Audience
The primary customers are mid‑size to large D2C brands and e‑commerce merchants that manage multi‑vendor supply chains and require real‑time inventory, trade, and logistics optimization.
Features
- AI‑powered demand forecasting that aggregates signals across the entire supplier network for synchronized replenishment planning.
- Real‑time inventory positioning engine that optimizes stock levels by supplier capacity, lead time, and cost across multiple regions.
- Predictive tariff and trade policy module that simulates policy scenarios, recommends alternative sourcing, and automates compliance monitoring.
- Supplier mix optimizer that balances cost, service‑level agreements, risk, and agility using machine‑learning models.
- Unified control‑tower interface with event triggers, automated exception resolution, and KPI scorecards for end‑to‑end visibility.
- Seamless integration via APIs to ERP, WMS, and customs systems, supporting FHIR‑compatible data exchange and secure, encrypted data flow.
- Automated performance benchmarking and cost‑to‑serve analytics that identify savings opportunities and track operational efficiency improvements.