Sharpr.ai is an AI-driven supply chain planning platform designed to replace traditional spreadsheets and legacy tools with a unified engine that delivers enterprise-grade forecasting without the lengthy implementation periods. It connects directly to your sales history, processes data at SKU × week granularity, and employs auto-selected forecasting models per series. Planners can review and override forecasts in a workbench grid, with every edit being audit-logged and role-gated, ensuring a single source of truth across functions.
Key Features and Functionality:
- AI-Tuned Forecasting: Utilizes a foundation-model forecast engine with covariate-aware predictions and auto-bias correction, offering weekly cadences and a 52-week horizon.
- Override-Aware Planning: Supports sales, marketing, and consensus forecasts with role-gated edits, lock semantics, and a complete audit trail of every change.
- Continuous Learning: Incorporates new actuals every cycle, with outlier detection, exception queues, and an autonomous review layer to keep plans current.
- Integrated Planning Pillars: Combines Sales & Operations Planning, Demand Planning, and Replenishment Planning into one engine, computed continuously from sales history, lead times, and supplier constraints.
Primary Value and User Solutions:
Sharpr.ai addresses the inefficiencies of traditional supply chain planning by providing a streamlined, AI-powered solution that reduces implementation time to as little as two weeks. It eliminates the need for manual data entry and spreadsheet hand-offs, ensuring that the forecast approved by planners is the one executed in replenishment. By offering real-time updates, role-gated overrides, and comprehensive audit trails, Sharpr.ai enhances collaboration across sales, operations, and finance teams, leading to more accurate forecasts and efficient supply chain management.
