Case Study

From Backlog to Business Case: 40+ Features Prioritised in 4 Weeks

Major National Parcel Delivery Provider

Challenge

A major national logistics and parcel delivery provider, operating critical transport and postal infrastructure across the country, faced growing customer friction across its consumer touchpoints. With an expansive digital and physical network, the business needed to modernise its parcel experience, streamline physical labelling and customer registration, and bring strategic clarity to an unprioritised backlog of more than 40 candidate features across multiple workstreams.

Fabric Group was engaged to lead an accelerated discovery program, using AI-assisted delivery frameworks to turn a scattered list of ideas into an endorsed, production-ready roadmap.

The organisation faced significant delivery and alignment hurdles:

  • Fragmented Network Experience: High customer friction around user registration and physical labelling degraded the parcel experience and added operational complexity.
  • Unfocused Product Backlog: Over 40 competing feature ideas spanned disparate workstreams without a cohesive strategic framework or clear value hierarchy.
  • Protracted Discovery Timelines: Traditional enterprise discovery cycles spanned up to 6 months, creating delays that risked missing critical market and peak operational windows.
  • Need for Unified Strategic Direction: The program required rapid alignment across diverse operational, commercial, and engineering stakeholders to build an airtight business case.
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PRocess

Fabric deployed an AI-accelerated discovery and co-creation framework to compress multi-month research and alignment cycles into rapid, high-impact sprints:

1. Stakeholder Alignment & Value Filtering

  • Consolidated cross-functional leadership around a single, unified program roadmap.
  • Implemented a structured value-filtering framework to evaluate the 40+ feature backlog against operational feasibility and customer impact, surfacing customer-critical initiatives for accelerated validation.

2. Rapid Insights & Market Intelligence

  • Leveraged generative AI tools (including GitHub Copilot and Miro AI) to plan discoveries and gather global market intelligence.
  • Synthesised research and stakeholder sessions rapidly, isolating root friction points in registration and parcel handling within days rather than weeks.

3. Vision, Concept Visualisation & Requirements Codification

  • Expanded and synthesised co-creation workshop outputs using AI workflows to generate detailed, engineering-ready functional requirements and user stories.
  • Rapidly visualised prototype concepts, enabling business and technical teams to stress-test user journeys and expedite formal approvals.
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Results

By combining structured consulting rigor with AI-native discovery tooling, Fabric delivered executive certainty, significant cost efficiencies, and accelerated commercial velocity:

  • Prioritised High-Value Delivery: Successfully converted a fragmented list of 40+ features into a focused, value-ranked roadmap ready for execution.
  • Accelerated Time-to-Market: Compressed complex discoveries from months to 4 weeks, dramatically accelerating feature time-to-market from 6 to 12 months down to under 6 months.
  • Confident Business Case & Investment Approval: Supplied definitive technical inputs and clear cost-benefit metrics, enabling confident business case development and approval.
  • Executive Buy-In Secured: Compelling AI narratives and rigorous technical data guaranteed immediate funding, delivery readiness, and executive alignment.
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