AI Copilot: query and enrich your catalogue in natural language

What if your teams could query their product catalogue just as easily as sending a message? That’s exactly what ProductsManager’s AI Copilot does — no SQL queries, no technical training, no middlemen.

The problem: the data is there, but nobody can access it

In most companies, product data is stored in the PIM. But to extract anything useful from it — how many products lack a description, which items have a completeness score below 60%, which suppliers have delivered errors this month — you either need to go through a developer, be proficient in SQL, or wait for a weekly report.

The result: business teams (buyers, catalogue managers, product managers) rarely consult the data, and make decisions without having all the facts.

How the AI Copilot works

The AI Copilot translates your questions in natural language into SQL queries, runs them on your database, and responds in English with the exact figures. The entire process takes just a few seconds:

1. You ask your questionin French, just as you would ask a colleague: “How many products in the Electronics category don’t have a main image?”
2. The LLM analyses your questionand understands the context (your catalogue, your data tables, your custom fields)
3. An SQL query is generatedand executed on your database — you can view it if you wish
4. The answer is formulatedin natural language with the data: "247 products in the Electronics category do not have a main image, including 89 with stock levels above zero."

Practical examples of use

For the catalogue manager

• "What is my progress in terms of completeness by category this week?"
• "Which products have been modified by more than one supplier this month?"
• "Show me the 30 SKUs with the most missing fields."

For the purchasing manager

• "Which suppliers have an import error rate of over 5%?"
• "How many SKUs have had their prices changed by supplier X this quarter?"
• "Which products are sourced from a single supplier (risk of stock-out)?"

For the compliance manager

• "List non-compliant REACH products with stock levels exceeding 10 units."
• "Which items in the Electronics category do not have a RoHS declaration?"
• "How many products fall within the DPP scope according to their categories?"

For the sales director

• "How many products are listed on Shopify but not on Amazon?"
• "Which items are priced below the configured MAP?"
• "What is the breakdown of my catalogue by level of completeness?"

Why it’s different from a simple chatbot

AI Copilot isn’t a generic chatbot that makes up answers. Itactuallyqueries your database and gives you exact figures. If the answer is “247 products”, it really is 247 products — you can check it.

Two key differences from a traditional chatbot:

• Real-time data— the Copilot queries your catalogue as it stands right now, not a static snapshot
• Traceability— the generated SQL query is visible. You can check what was requested from the database

BYOK: which AI model powers the Copilot?

Copilot uses the AI provider you have configured for the "copilot" context in AI Services. By default, OpenAI GPT-4o — but you can use Anthropic Claude, Google Gemini, Mistral, or even Ollama for a 100% on-premises deployment if your privacy requirements demand it.

Your product data never leaves your database — only the query structure is sent to the LLM, not the data itself.

On which plans is AI Copilot available?

AI Copilot is available on all paid plans (Starter, Growth, Scale, Enterprise) in BYOK mode — you provide your own OpenAI API key or similar. Growth+ plans benefit from managed AI credits if you do not wish to manage your own keys.