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o9 Solutions

Enterprise planning platform built around a knowledge graph

Overview

o9 Solutions is a privately held planning software company co-founded by Chakri Gottemukkala, its executive chairman and chief executive, and Sanjiv Sidhu, a board member; both had built supply chain planning software before founding o9.[7]

Its platform, the o9 Digital Brain (also called the o9 Enterprise Brain), models a company’s demand, supply, commercial and financial plans in a single knowledge graph so that planning teams can work from one model; o9 describes it as powered by neurosymbolic AI.[7] Typical uses include demand planning, supply planning, integrated business planning, revenue management and retail merchandise financial planning. The company states that it serves clients in more than 30 industries, has offices in the Americas, Europe, Asia, Oceania and India, has appeared on the Inc. 5000 list seven years in a row and holds an EcoVadis Platinum rating.[7]

o9 competes most directly with Kinaxis and Blue Yonder for enterprise integrated business planning. As a private company it publishes no revenue, customer count or prices, which makes independent comparison of scale harder, and it does not sell warehouse or transportation execution software.

o9 Solutions features

  • Enterprise knowledge graph data model
  • Demand planning and sensing
  • Integrated business planning
  • Revenue management and price optimisation
  • Neurosymbolic AI reasoning
  • Demand and supply planning
  • Revenue and commercial planning
  • Retail merchandise financial planning

o9 Solutions pricing

Quote-based; no published prices.

o9 Solutions strengths and limitations

Strengths

  • Broad commercial-to-supply planning scope
  • Single graph data model
  • Strong presence in consumer goods and retail
  • Founders with long planning-software history
  • Single model across supply, commercial and financial plans
  • Strong in integrated business planning

Limitations

  • No published pricing or customer counts
  • Privately held with limited financial disclosure
  • Data-modelling effort during implementation
  • Overkill for mid-sized firms
  • No public financial disclosures
  • No execution modules (WMS/TMS)

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o9 Solutions alternatives and competitors

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