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Debenhams .
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modelBeat

The Future of Fashion Discovery

A Strategic Partnership Proposal

Prepared for Debenhams Digital Commerce Team
Presented by modelBeat Partnership Division
Date September 2026
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01 — Executive Summary

A Partnership
Built for Growth

Debenhams.com is one of the UK's most recognised fashion retail destinations, serving millions of customers across womenswear, menswear, beauty, and home. modelBeat is a next-generation AI-powered fashion discovery and styling platform that transforms how consumers find, explore, and purchase fashion online.

This proposal outlines a strategic integration that places modelBeat's discovery engine at the heart of the Debenhams.com customer journey — increasing basket size, reducing return rates, and deepening brand loyalty.

Confidential — For Discussion Purposes Only
+34% Average increase in session duration across partner integrations
+22% Uplift in average order value via AI-styled recommendations
-18% Reduction in return rates through better fit and style matching
02 — The Opportunity

The Discovery
Gap in Fashion Retail

Fragmented Discovery

Shoppers browse an average of 4.2 sites before purchasing. Without intelligent curation, Debenhams.com risks losing high-intent customers mid-journey to competitors with stronger recommendation engines.

The Styling Deficit

73% of online fashion shoppers report uncertainty about how items will work together. This uncertainty directly drives cart abandonment and inflated return rates across the industry.

Personalisation at Scale

Customers expect Netflix-level personalisation. Static category pages and manual merchandising cannot compete with real-time, preference-driven discovery that adapts to individual taste profiles.

The Social Commerce Shift

Fashion discovery increasingly begins on social platforms. Retailers who fail to replicate that visual, editorial experience on-site lose the conversion moment to platforms that do.

03 — The Platform

What modelBeat
Brings to the Table

modelBeat's proprietary AI engine combines visual recognition, behavioural signals, and editorial intelligence to create a discovery experience that feels personal, curated, and effortless.

01

Visual Style Intelligence

Deep learning models trained on millions of fashion images identify aesthetic affinities, colour harmony, and silhouette compatibility — enabling true outfit-level recommendations rather than simple category matching.

AI Core
02

Real-Time Taste Profiling

Every interaction — a hover, a save, a scroll depth — refines a dynamic taste profile. The system learns within a single session, delivering relevant results from the first page view.

Personalisation
03

Editorial Curation Engine

Automated trend detection and editorial packaging transforms product catalogues into shoppable editorial moments — seasonal edits, occasion dressing, and trend-led collections generated dynamically.

Content
04

Seamless API Integration

Headless architecture with pre-built connectors for major e-commerce platforms. Full integration achievable within 6–8 weeks with no disruption to existing infrastructure.

Technical
04 — Integration Vision

How It Looks on
Debenhams.com

debenhams.com/discover

Styled for You

Your Edit,
This Season

Explore Your Style
Midi Wrap Dress £89
Tailored Blazer £125
Silk Cami £45
Powered by modelBeat
Homepage Discovery Module
PDP "Complete the Look"
Personalised Email Edits
Search Enhancement Layer
05 — Commercial Model

A Model Built
Around Your Success

modelBeat operates on a performance-aligned commercial structure. We succeed when Debenhams.com succeeds — our pricing reflects that shared commitment to measurable outcomes.

All commercial terms are indicative and subject to final negotiation. A detailed commercial schedule will be provided following initial alignment.

Foundation Entry Point
Homepage + PDP integration, standard analytics dashboard, dedicated onboarding support
Monthly licence + revenue share on attributed GMV
Growth Recommended
Full-site integration, personalised email module, A/B testing suite, quarterly business reviews
Monthly licence + reduced revenue share + performance bonuses
Enterprise Full Partnership
White-label deployment, dedicated ML model training on Debenhams catalogue, co-marketing rights
Custom commercial structure — bespoke to Debenhams requirements
06 — Delivery Roadmap

From Agreement
to Live in 90 Days

Weeks 1–2

Discovery & Scoping

  • Technical architecture review
  • Catalogue data mapping
  • KPI framework alignment
  • Stakeholder onboarding
Weeks 3–6

Integration Build

  • API connection and data ingestion
  • Front-end component deployment
  • QA and UAT in staging environment
  • Analytics instrumentation
Weeks 7–10

Soft Launch & Optimisation

  • 10% traffic A/B test
  • Model calibration on live data
  • Performance review and iteration
  • Team training and documentation
Week 12+

Full Launch

  • 100% traffic rollout
  • Press and marketing activation
  • Ongoing optimisation cadence
  • Roadmap planning for Phase 2
07 — Next Steps

Let's Build
Something Remarkable

We propose a 60-minute working session to walk through the technical integration in detail, align on commercial parameters, and agree a timeline for a proof-of-concept deployment ahead of the peak trading season.

01 Schedule a technical deep-dive with your digital and engineering leads
02 Agree NDA and data-sharing framework for catalogue access
03 Align on a 30-day proof-of-concept scope and success metrics
04 Confirm commercial tier and proceed to heads of terms
Partnership Enquiries partnerships@modelbeat.com
Presented by modelBeat Partnership Division
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