Optimae provides an AI‑driven platform that unifies sourcing bids, fulfillment logistics, and multi‑channel sales data into real‑time dashboards. The software uses predictive analytics to forecast demand, optimize inventory allocation, and recommend cost‑effective execution strategies, giving e‑commerce brands and logistics teams end‑to‑end visibility and faster, data‑backed supply chain decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Digital commerce operators often struggle with fragmented data across sourcing, fulfillment, and multiple sales channels, leading to inefficient supply chain decisions, higher costs, and missed revenue opportunities.
Solution
Optimae offers an AI‑driven software platform that consolidates sourcing bids, fulfillment logistics, and multi‑channel sales data into unified, real‑time dashboards. The system applies predictive analytics to forecast demand, optimize inventory allocation, and recommend cost‑effective execution strategies. By providing a 360° view of the entire operation, the platform enables faster, data‑backed decisions that improve order conversion and reduce operational expenses. Integration modules connect the platform to major online sales marketplaces, allowing businesses to execute the optimal fulfillment plan for each channel without manual reconfiguration.
Target Audience
Primary customers are e‑commerce brands, digital commerce managers, and logistics teams that need end‑to‑end visibility and optimization of their supply chain operations.
Features
- AI‑powered sourcing module that evaluates bids against compliance rules and projected order volumes
- Centralized 360° dashboards displaying key performance metrics across supply chain, fulfillment, and sales channels
- Seamless integration layer for major e‑commerce platforms to synchronize fulfillment strategies in real time
- Predictive demand forecasting and scenario planning tools to optimize inventory and reduce costs
- Flexible pricing tiers supporting both low‑volume (pay‑per‑use) and high‑volume (subscription) customers