Think of this as a smart autopilot for your online product inventory. It watches your sales, predicts what will sell and when, and then tells you exactly how much stock you should have so you don’t run out or get stuck with excess inventory.
Ecommerce brands struggle to keep the right amount of stock across channels—stockouts lose revenue and damage rankings, while overstock ties up cash and drives up storage and markdown costs. This platform uses data and AI to optimize inventory levels and replenishment decisions.
Tight integration into ecommerce retail media and marketplace data (e.g., Amazon, major retailers) plus proprietary historical sales, pricing, and promotion data across many brands, embedded in a workflow that combines analytics, forecasting, and replenishment recommendations.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Quality and granularity of sales, inventory, and promotion data feeds across multiple ecommerce channels; model performance for long-tail SKUs and highly seasonal products.
Early Majority
Positioned as a unified ecommerce growth and operations platform where inventory optimization is tightly linked to advertising, pricing, and digital shelf analytics, rather than being a standalone demand-planning tool.
77 use cases in this application