TBInternational

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.

TBInternational deployed o9 Solutions' Digital Brain platform as the core of a broader digital transformation running on Google Cloud. The implementation addressed demand forecasting across both B2B wholesale and B2C e-commerce channels, as well as production and procurement planning — replacing fragmented, manual workflows with a unified integrated business planning process. The platform applies machine learning and predictive analytics to generate forward-looking demand signals and automatically align supply parameters in response. Implementation was led by o9's certified partners aioneers and Google Cloud, who operated as a single unified team alongside TBInternational to translate business requirements into the o9 reference model. Procurement was transacted through Google Cloud Marketplace, which streamlined contracting and contributed to the accelerated timeline.

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.

• Implementation partner alignment from day one is a primary driver of deployment speed — aioneers, Google Cloud, and TBInternational operated as a single team, not separate workstreams, and went live in six months.
• Cloud marketplace procurement (Google Cloud Marketplace) can compress contracting cycles and accelerate time-to-value for mid-market deployments.
• 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, inventory alert automation is a high-value early win that builds organizational trust in AI-driven planning.