o9 Solutions

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Unifies commercial, supply chain, and financial planning on a single graph database matrix to predict demand and align store allocations.

FreemiumRetail Management Toolsenterprise retail graph matrixcommercial supply chain alignmentsku demand forecasting

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⚖ Pros & Cons

◎ Use Cases

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ℹ️Tool Info

💳 PRICING

Freemium

•Free: No public free tier

•Basic: Custom basic module package

•Pro/Advanced: Scoped custom pricing based on deployment requirements

•Enterprise: Enterprise pricing customized by store count, users, and functions

🌐 INDIA SUPPORT

Yes (Web & Mobile App)

🕒 LAST UPDATED

31 Aug 2026

💡What is o9 Solutions?

o9 Solutions brings retail planning, supply chain, commercial, and financial decisions into a connected enterprise model built on a proprietary graph database. Its retail forecasting evaluates internal store sales alongside external demand drivers such as weather events, local promotional campaigns, and economic indicators. Planners can run real-time what-if simulations to analyze the financial impact of inventory shifts across store networks. Designed for high-volume enterprise retailers, o9 helps planning teams automate stock allocation routines and replace fragmented spreadsheet workflows with exception-based AI insights.

⚡o9 Solutions's key features

✓Store-level AI forecasting evaluating internal sales history alongside external demand drivers

✓Graph-based supply chain matrix connecting commercial goals with physical inventory limits

✓Real-time what-if scenario modeling projecting revenue outcomes of stock shifts

✓Automated multi-echelon replenishment executing purchase orders based on stock limits

✓Assortment and space planning aligning floor planograms with projected sales velocity

✓Integrated financial merchandise planning tracking margin impact of inventory decisions

✓AI-driven exception management alerting planners only when manual review is needed

✓Commercial trade promotion optimization calculating net volume lift before deployment

✓Unified supplier collaboration portal coordinating delivery schedules across distribution centers

✓Omnichannel fulfillment balancing inventory allocation between webstores and branches

🎯Use Cases

→ Predicting store-level demand across national retail chains prior to peak shopping seasons

→ Simulating the financial revenue impact of supply chain delays before taking action

→ Automating daily store replenishment orders to ensure high shelf availability

→ Aligning commercial trade promotional plans directly with distribution center stock limits

→ Optimizing safety stock levels across regional distribution hubs to prevent stockouts

→ Managing end-of-season markdown schedules to maximize total gross margin recovery

→ Balancing inventory allocations between direct-to-consumer e-commerce and retail stores

→ Evaluating cross-channel demand shifts to adjust regional store inventory buffers

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⚖️Pros & Cons

✅ PROS

Built on a modern graph database architecture that processes complex retail networks quickly
Integrates financial planning directly with supply chain and store inventory decisions
Runs real-time what-if scenario simulations without crashing or requiring long batch processing
Proven track record with major global and Indian enterprise retail deployments
Established corporate engineering and account support team operating in India
Reduces manual spreadsheet labor by automating up to 80% of routine allocation decisions
Strong capabilities across demand sensing, merchandise planning, and trade promotion

❌ CONS

Targeted strictly at large enterprise retail organizations and unsuitable for small stores
Implementation process is complex and requires dedicated IT and consulting resources
Software licensing pricing is completely custom and not disclosed publicly online
Navigating the deep array of enterprise modules requires structured staff training
Requires high-quality foundational business data to calibrate predictive graph models
Customizing legacy ERP connectors can require extended integration timelines
System setup represents a significant capital investment for retail operations

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