TBInternational goes live in six months with AI-powered demand forecasting and operations planning via o9 Digital Brain

TBInternational deployed Machine Learning & Predictive Analytics for Demand Forecasting & Planning in Retail & E-Commerce Supply Chain. As reported by o9solutions.com: 6 months from selection to go-live deployment timeline.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
6 months from selection to go-liveDeployment Timeline

Source-reported figures (cited source: o9solutions.com)

What TBInternational was trying to fix

TBInternational is a fast-growing global fashion manufacturer, wholesaler, and retailer serving 15+ recognizable clothing and accessory brands across 15,000 retail locations and 100 e-commerce channels. Its competitive promise — 24-hour order shipment and never-out-of-stock availability — required precise alignment between demand signals and supply execution at scale. Yet the company operated with a siloed, unstructured integrated business planning process that provided limited forward visibility and hindered resource allocation. Forecasting, ordering, inventory management, and production allocation were largely manual and disconnected, creating a structural gap between planning capability and operational ambition as the business continued to grow in a volatile fashion market.

What TBInternational deployed

TBInternational deployed o9 Solutions' Digital Brain platform as part of its digital transformation strategy enabled by Google Cloud. The implementation addressed demand forecasting across both B2B and B2C channels, as well as production and procurement planning — replacing fragmented, manual workflows with a unified integrated business planning process. The platform applies AI-powered forecasting to generate forward-looking demand signals and help align supply parameters with demand. Implementation was led by o9 partners aioneers and Google Cloud, with aioneers and TBInternational working as a single team to translate business requirements into the o9 platform. Procurement was transacted through Google Cloud Marketplace.

Results

The headline outcome was a six-month deployment timeline from vendor selection to go-live — a fast execution for an enterprise-scale supply chain transformation. Post-deployment, TBInternational achieved measurable improvement in aligning supply parameters with real demand patterns across its multi-channel portfolio:

  • Reduced weeks of supply: excess inventory and associated carrying costs expected to decline
  • Optimized inventory levels across B2B and B2C channels spanning 15,000+ retail locations
  • Customized inventory alerts now surface timely risk signals, enabling proactive decision-making rather than reactive firefighting
  • Improved demand/supply matching across 15+ brands and 100 e-commerce channels

The company also marked this go-live as a key milestone on its strategic roadmap to become a fully data-driven organization.

Key Takeaways

  • Implementation partner alignment from day one is a primary driver of deployment speed — aioneers and TBInternational operated as a single team, not separate workstreams, and went live in six months.
  • AI demand forecasting delivers the most operational impact when extended downstream to production and procurement planning, closing the loop between demand signal and supply response.
  • For fashion manufacturers with complex multi-channel footprints, customized inventory alerts can support more proactive decision-making.

Evidence for TBInternational's Demand Forecasting & Planning deployment

Reported outcome metrics
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o9solutions.com
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