AI-first Product Modernization and Tech Debt Reduction for a Leading US Logistics Platform

Client: Leading U.S. Moving & Storage Company
Industry: Moving & Storage

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Client

A leading US moving and logistics platform needed rapid, full ownership of an existing product while reducing tech debt, delivering new features, and keeping internal teams informed and capable.

Challenge

Significant tech debt and undocumented domain knowledge made handover high-risk
Needed full accountability from day one – not just execution capacity
Simultaneous pressure to stabilise the platform and ship new features
Internal teams needed to remain capable – knowledge couldn’t get trapped with the vendor

Solution

Deployed a Core & Flex pod model:
- Core pod – platform direction, architectural continuity, client alignment
- Flex pods – outcome-scoped bundles for features, tech debt, cloud costs, and security
Used AI-first engineering and testing practices to accelerate delivery and cut manual overhead
Ran a structured knowledge transfer program running in parallel with delivery

Impact

Full product ownership transferred in under 8 weeks
35% reduction in cloud infrastructure costs within the first quarter
Critical tech debt resolved within 90 days without disrupting live delivery
2x faster feature release cycles via AI-first engineering and automated testing

Strategic Significance

Indexnine’s ability to configure the right pod model for the problem – combining full product ownership, structured debt reduction, and knowledge transfer into a single, flexible engagement.

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