
Solvoyo
AI-native supply chain planning platform with autonomous demand forecasting, replenishment, and scenario optimization.
What it does
Solvoyo is an AI-native supply chain planning platform that provides demand forecasting, inventory optimization, and replenishment automation for retailers and manufacturers. Its AI capabilities include machine learning demand forecasting that incorporates hundreds of demand signals - weather, promotions, competitor pricing, local events - at the SKU-location level, autonomous replenishment recommendations that generate optimal order quantities respecting supplier constraints and inventory policies, and AI-driven scenario planning that simulates supply chain performance under different demand and supply assumptions. Solvoyo is designed to be a decision-automation layer - reducing the number of human decisions required per week from thousands to exceptions only.
Why AI-NATIVE
Solvoyo is AI-native - autonomous demand sensing, ML forecasting from diverse signal types, and automated replenishment generation are its core architectural design rather than analytical overlays on manual planning tools.
Best for
Mid-market retailers and manufacturers use Solvoyo to replace spreadsheet-based demand planning - AI forecasting at SKU-location level far exceeding the granularity of manual planning.
Large retailers use Solvoyo for AI-automated replenishment across thousands of SKUs and hundreds of locations - autonomous order generation reducing the planning team's manual decision burden to exception management.
Limitations
Solvoyo competes with established supply chain planning platforms like Blue Yonder and Kinaxis — as a newer entrant it has a smaller implementation partner ecosystem and fewer enterprise case studies.
Solvoyo's AI models depend on clean, historical demand, inventory, and supply data — organizations with fragmented data systems face significant data preparation work before the AI delivers accurate forecasts.
Moving from recommendation review to autonomous order execution requires organization confidence in model accuracy — teams should validate forecast quality before enabling autonomous replenishment.
Alternatives by segment
| If you need… | Consider instead |
|---|---|
| Established enterprise demand planning | Kinaxis RapidResponse |
| Fresh food demand forecasting | Afresh |
| Supply chain control tower | Alloy.ai |
Solvoyo pricing not published. Contracts based on number of SKUs, locations, and planning horizon. Mid-market contracts typically start around $100,000+ annually. Enterprise pricing negotiated.





