Fashion & Luxury Apparel
Size & Fit Recommendation Engine
Reduce returns by getting fit right the first time
7
VAL
6
FIT
5
EASE
7
ODOO
7
GC
4
RISK
6.8
Score
Why This Workflow Matters
The business case for implementing this workflow.
Size-related returns are the single biggest cost center in fashion e-commerce — accounting for 30-40% of all online returns. Each return costs the brand $10-$30 in shipping and processing. For a mid-size brand doing $5M in online sales, size-related returns can cost $300K-$600K annually. Better size guidance is the most cost-effective way to improve e-commerce profitability.
The Bigger Puzzle
How AI + Odoo creates something greater than the sum of its parts.
AI + Odoo Synergy
Return data from Sales module → AI identifies fit patterns by style and size → generates updated size guides for Website/eCommerce → recommends grading adjustments for Manufacturing → product pages show detailed fit descriptions → customer purchase history improves personal recommendations → reduced returns improve Inventory efficiency and profitability.
Odoo Apps Activated
eCommerce
Website
Product
Sales
Inventory
Current Alternatives & Why They Fall Short
The existing solutions and their limitations.
True Fit / Fit Analytics (by Snap)
AI-powered fit recommendation widgets that help online shoppers find their correct size based on body measurements and purchase history.
$0.05-$0.15 per recommendation — Adds up quickly at scale
Limitations
- Per-transaction costs accumulate significantly for high-traffic sites
- Black box algorithm — brand has no control over recommendations
- Requires customer to complete a profile for best results
- Does not address root cause fit issues in grading or production
Why RebusAI is Better
Generates comprehensive fit content from your actual return data, addressing root causes in production AND improving product page descriptions. No per-transaction fees. Insights feed back into manufacturing for better-fitting garments, not just better-guessing customers.
Manual Size Charts
Static size charts based on measurement tables, often copied from industry standards without brand-specific customization.
Minimal cost — But high cost in returns from inaccurate guidance
Limitations
- Generic measurements that don't reflect actual garment fit
- No style-specific guidance (a slim-fit vs. relaxed-fit shirt needs different advice)
- No feedback loop from returns to improve accuracy
- Customers don't trust generic size charts
Why RebusAI is Better
AI generates style-specific fit descriptions informed by actual return data. Not generic measurements, but real guidance like "this blazer runs narrow in the shoulders — size up if you're between sizes." Data-driven accuracy that improves with every return.
Customer Service / Live Chat
Brands rely on customer service agents to answer size questions via chat, email, or phone.
$15-$25/hour per agent — Plus high volume during launches
Limitations
- Not scalable during peak shopping periods
- Inconsistent advice across agents
- Reactive — only helps customers who bother to ask
- Most customers don't contact support — they just guess and return
Why RebusAI is Better
Proactive fit guidance on every product page, available 24/7, consistent and data-driven. Helps the 95% of customers who never contact support but still need size guidance.
Implementation Approach
How to bring this workflow to life.
Combines Sales return data analysis with content generation for product pages. 4-5 week implementation requiring return reason data integration and size guide template development.
Ready to Build This Workflow?
Turn Size & Fit Recommendation Engine into a competitive advantage with RebusAI + Odoo.
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