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o9 Solutions

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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โ“ช Overview
โŠž Alternatives
โœฆ Features
โš– Pros & Cons
โ—Ž Use Cases
โš‰ Who's it for
โ“ FAQs
โœฆ Reviews
โ„น๏ธTool Info
๐Ÿ’ณ PRICING
Freemium
โ€ขFree: No public free tier
โ€ขBasic: Custom basic module package
โ€ขPro/Advanced: Scoped custom pricing based on deployment requirements
โ€ขEnterprise: Enterprise pricing customized by store count, users, and functions
๐ŸŒ INDIA SUPPORT
IN Yes (Web & Mobile App)
๐Ÿ•’ LAST UPDATED
31 Aug 2026
๐Ÿ’กWhat 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.

โšกo9 Solutions's key features
โœ“Store-level AI forecasting evaluating internal sales history alongside external demand drivers
โœ“Graph-based supply chain matrix connecting commercial goals with physical inventory limits
โœ“Real-time what-if scenario modeling projecting revenue outcomes of stock shifts
โœ“Automated multi-echelon replenishment executing purchase orders based on stock limits
โœ“Assortment and space planning aligning floor planograms with projected sales velocity
โœ“Integrated financial merchandise planning tracking margin impact of inventory decisions
โœ“AI-driven exception management alerting planners only when manual review is needed
โœ“Commercial trade promotion optimization calculating net volume lift before deployment
โœ“Unified supplier collaboration portal coordinating delivery schedules across distribution centers
โœ“Omnichannel fulfillment balancing inventory allocation between webstores and branches
๐ŸŽฏUse Cases
โ†’ Predicting store-level demand across national retail chains prior to peak shopping seasons
โ†’ Simulating the financial revenue impact of supply chain delays before taking action
โ†’ Automating daily store replenishment orders to ensure high shelf availability
โ†’ Aligning commercial trade promotional plans directly with distribution center stock limits
โ†’ Optimizing safety stock levels across regional distribution hubs to prevent stockouts
โ†’ Managing end-of-season markdown schedules to maximize total gross margin recovery
โ†’ Balancing inventory allocations between direct-to-consumer e-commerce and retail stores
โ†’ Evaluating cross-channel demand shifts to adjust regional store inventory buffers
โš–๏ธPros & Cons
โœ… 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
โŒ 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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๐Ÿ‘ฅWho Is It For?
โ€ขEnterprise retail planning teams
โ€ขSupply chain directors
โ€ขMerchandise planners
โ€ขChief financial officers
โ€ขInventory control executives
โ€ขSupermarket and apparel chains
โ€ขMulti-location retail enterprises
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