Teams re-entering the catalog
Product pages, customer replies, translations: the same information re-entered on every channel.
Your teams feed channels instead of selling and advising.
The AI that keeps your retail running.
Customer service, marketing, catalog, stores: your teams gain speed and consistency across every channel.
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The problem
AI seems to be everywhere. The value, nowhere.
The POC graveyard
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach daily work.
An individual ChatGPT, zero compounding
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the company sees neither ROI nor a collective advantage.
95%
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
75%
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Use cases
AI across your retail processes.
From customer service to in-store team training, every function becomes faster and more consistent. We break down the AI use cases that hold up in store and online.
Automated customer responses
- Agents connected to FAQs, return policies and product sheets
- Smart escalation to the right advisor when needed
- 24/7 availability in French, English and other languages
Content creation at scale
- Generation of product sheets, social posts and personalized newsletters
- On-brand tone of voice and guidelines, every time
- Content adapted by channel, country and customer segment
Market watch & competitive analysis
- Tracking of competitor prices, assortments and launches
- Weekly synthesis of customer reviews and field insights
- Performance reports by brand, channel or region
Product catalog enrichment
- Automatic structuring and enrichment of product data
- Translation and adaptation of descriptions for each market
- Detection of inconsistencies and bulk updates
Meeting & brief summaries
- Automatic transcription and summary of team meetings
- Generation of creative briefs from commercial notes
- Structured storage in your internal tools (Notion, Drive, etc.)
Team onboarding & training
- Onboarding agents for new hires in stores or head office
- Continuous training on collections, processes and tools
- Real-time quizzes and product-knowledge checks
How we help
Five ways to move forward, in the order that suits you.
FrameDeploy
- Enablement Bring leaders and teams on board: what AI concretely changes for your business, with demos and real cases.
- AI Audit Process mapping, data analysis, top 5 costed use cases with ROI per case. A roadmap you can defend.
- AI Training Your teams get hands-on with Claude, ChatGPT or Microsoft Copilot, wired into your tools, your data and your procedures.
- AI Automation Agents that run your high-volume processes: inbound handling, enrichment, reporting.
- AI ops product When off-the-shelf no longer cuts it: bespoke business apps, built on your data, that you own.
A proprietary method, accelerated by our tech.
Our internal tools map in days what traditional firms take weeks to audit.
Broader scope, execution in the field, delivery twice as fast.
Accelerated immersion
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Pilot on your data
Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.
Scale without lock-in
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
Where to start?
30 minutes to identify your highest-impact use cases. No commitment.
Book a callThey say it better than we do
All solutions were live in less than six weeks. Quick wins galvanized the whole team. Dust was deployed at scale with structured onboarding (templates, best practices, use cases by function) and seamless integration in our tools. Tandem also supports our portfolio companies in identifying high-ROI levers and industrializing automations.
Éléonore Breton
Operating Partner, Newfund
White paper
Everything AI can do in retail.
A complete guide, reserved for industry professionals. Leave your email and we'll send it over.
✦Use cases by function, concrete and costed
✦The ROI observed at the companies we work with
✦Our deployment method, explained step by step
The questions we get.
What happens to our data?
An NDA before any exchange. Your data is never used to train models: isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365), EU hosting available and compliance with your industry's rules (GDPR, HDS in healthcare, DORA in finance).
How do you integrate with our tools?
We plug into what exists: Microsoft or Google suite, CRM, ERP, business tools. No rip-and-replace: agents slot into your current processes.
How long before the first results?
We frame the first use cases, then deploy in short iterations. At Newfund, every solution was live in under six weeks.
How is ROI measured?
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers.
Who works on the engagement?
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope.
How do we know if AI is worth it for our brand?
Start from your real data: customer service tickets, catalog, data architecture. At Moose Knuckles, the audit delivered three prioritized, costed and sequenced use cases, at a company with no AI in production.