You start with an experience in the field or directly with an analysis of your store. Agent implementation and the observatory always follow from what the Check brings to light.
MiRT Explore
AI Retail Tour & Academy
See AI already at work in Milanese retail and leave with a map of what matters for your store.
- Morning in the field: visits to stores where AI is already in operation
- Afternoon in the classroom with the Research Based Learning method and a personal impact/effort matrix
- Public tours, tours dedicated to your company and an Academy on the AI training required by the AI Act, with certificate
MiRT Check
AI Readiness Check
Find out where AI makes or saves you money, with which tools and in what order.
- Observe: a store visit, interviews and data collection
- Interpret: analysis of the reviews of your store and your competitors, MiRT benchmark and use-case matrix
- Report back: a full report, a workshop with your team and a roadmap
In the report: a snapshot of the store, the voice of your customers compared with competitors, use cases with their economic value, prioritised quick wins, recommended tools and the gaps to close for the AI Act and GDPR.
MiRT Watch
Retail Intelligence Observatory
The MiRT observatory works for your store, every day.
- Trend reports on your category, curated by MiRT researchers
- Alerts on relevant developments in the sector
- Review and sentiment monitoring of your own banner and your competitors
- Monitoring of competitors’ online prices and assortment
- Alerts on openings, closures and innovative formats in your local market
Available at several levels of depth. Every report carries the signature of a researcher: curated authority, not an automated feed.
MiRT Act
AI agents for the store
Ready-made agents, configured for your banner.
- Clienteling: customer relationships via WhatsApp and SMS
- Content: product sheets, social media and newsletters
- Review: review replies and analysis
- Insight: ask your sales data questions in natural language
Implementation always follows the same path: setup and integrations, internal testing on your real data, a supervised launch, fine-tuning and team training, then ongoing monitoring and reporting.