Description
Maeve AI is a specialized AI assistant tailored for product-led fashion retailers. It optimizes every product decision, from range planning and supplier audits to fit, depth of buy, size curves, and pricing. Maeve connects seamlessly with platforms like Shopify, warehouse systems, PLM, and customer-care tools, reading data from these sources to provide actionable insights.
The tool models the revenue impact of recommendations before actions are taken, allowing users to draft the next steps, such as re-grading or Shopify edits, with a single click. Maeve provides a pre-launch risk score by comparing new products against historical data, helping retailers avoid costly mistakes.
Maeve's capabilities include filtering entire product catalogs by metrics like return rate, sell-through, and review sentiment, enabling teams to act on what matters most. It generates weekly and monthly trade reports, summarizing sales, returns, and changes, and suggesting actions for the upcoming week.
Maeve's integration process is swift, with setup taking around 30 minutes for brands on Shopify. Pricing starts at £1k per month for brands with annual revenues under £10m. The tool is GDPR-compliant, running entirely in the EU on AWS, ensuring data security and privacy.
Maeve AI is ideal for fashion retailers looking to reduce returns, improve product fit, and enhance profitability through data-driven decisions. It provides a comprehensive view of business performance, helping teams collaborate effectively and make informed decisions.
Maeve AI's Core Features
Optimizes product decisions
Connects with Shopify and PLM
Models revenue impact
Pre-launch risk scoring
Filters product catalog by metrics
Generates trade reports
Quick setup for Shopify
GDPR-compliant data handling
How to use Maeve AI?
Configure: Connect data sources like Shopify and PLM
Use: Analyze product metrics and insights
Optimize: Implement recommendations to improve performance
Report: Generate and review trade reports
Maeve AI's Use Cases
- Range Planning
- Fit Optimization
- Pricing Strategy
- Return Reduction
- Sales Analysis

