From hunger to idea
“What should we eat this week?”
- Personalized suggestions from past baskets and household preferences
- Trending and seasonal meal ideas surfaced automatically
- Dietary needs and allergies learned and remembered over time
Agentic commerce · shopper · chef · nutritionist
Agentic AI for grocers.
Turn a shopper's goal — “five dinners under €120, vegetarian, kid-friendly” — into a filled cart. Shoppers save time and build bigger baskets. You keep them coming back.
PantryLab Agentlive
The opportunity
Shoppers don't want products. They want dinner sorted.
Endless product lists and empty search bars put all the work on the shopper. PantryLab's agent starts from what they're trying to achieve and returns a complete, cart-ready solution — built on the same food intelligence behind the PantryLab app.
The customer journey
One agent across the whole shopping trip.
From the first “what should we eat?” to a restock three weeks later — the agent is useful at every step, not just search.
Build the perfect week
Constraints, budget, time
- Budget-aware plans that stay under a weekly grocery target
- Pantry awareness — use what the shopper already has first
- Complete weekly plans with balanced, goal-based nutrition
From plan to cart
Intent → cart-ready solution
- Intelligent search across your entire real-time catalog
- Compare options by price, nutrition and availability
- Every ingredient added at the right quantity, automatically
Beyond the buy button
Cooking help, then reorder
- Step-by-step cooking guidance and technique tips
- Save recipes from any source for a future shop
- Proactive restock suggestions from real consumption patterns
The suite
Three ways to put the agent to work.
AI shopping assistant
An embedded conversational agent that plans meals, respects the pantry, and fills the cart instantly — remembering preferences and dietary needs across sessions.
Agentic search
A solution engine that understands intent. Type “quick weeknight dinner” and get a complete, cart-ready bundle back — not an endless list of products.
Off-site agentic commerce
An MCP server that exposes your catalog to ChatGPT, Gemini and other assistants, so shoppers can buy from your real-time inventory wherever they already ask what to cook.
Built to drop in
Reuse your catalog, inventory and cart. Go live in weeks.
Drop-in SDK
Embed the assistant in your existing web or app experience and reuse the APIs you already have.
Real-time inventory
Every product reference is checked against live stock and pricing before it reaches a shopper.
Sub-second responses
A hyper-optimized model and tiered caching keep it fast, while still personalizing to each shopper.
Insights & governance
Full control over agent behavior, plus conversation analytics that reveal what shoppers actually want.
Enterprise ready
Trust, privacy and reliability at every step.
Privacy by design
Personal data is sanitized before storage or model calls, sessions are pseudonymous, and the agent never handles payment data itself.
Guardrails
Allow-listed tools only, schema-enforced outputs, and no open-web calls — so the agent stays inside your rules in real time.
Verified outputs
Inventory and catalog checks ensure every product the agent references is real, in stock, and correctly priced.
Getting started
From first call to live agent.
Tell us about your store
Your catalog, your customers, and where you'd like the agent to live — on-site, in your app, or through off-site assistants.
We scope the integration
We map your catalog, inventory and cart APIs, agree on guardrails, and define what a great cart looks like for your shoppers.
Embed and launch
Drop in the SDK or connect the MCP server, run through eval scenarios together, and go live — in weeks, not months.
Questions
AI for Grocers FAQ
What exactly does PantryLab provide to a grocer?
The food-intelligence engine and the agent layer on top of it: recipe matching across 300,000+ recipes, meal planning, nutrition and pantry logic, plus a conversational shopping agent, agentic search, and an MCP server that connects your catalog to off-platform AI assistants. It runs on your real-time catalog, inventory and cart APIs.
Do we have to replace our existing storefront or app?
No. It's designed as a drop-in layer — embed the shopping agent in your existing web or app experience and reuse your catalog, inventory and cart APIs. The goal is to go live in weeks, not to rebuild your stack.
What is “off-site agentic commerce”?
We expose your catalog through an MCP server so external AI assistants — ChatGPT, Gemini and others — can search your products and build a cart against your live inventory, then hand the shopper back to your checkout. You reach shoppers where they're already asking what to cook.
How is shopper data handled?
The agent is built to sanitize personal data, run on pseudonymous sessions, and never handle payment details itself. Tool use is allow-listed and outputs are checked against your real catalog before they reach a shopper. Exact data-processing terms are agreed per engagement.
Get a demo
See the agent fill a cart from your catalog.
Tell us about your store and we'll walk you through a shopping agent running on your products, inventory and cart.