AI shopping agent for grocery

An omnichannel AI shopping agent that helps your customers plan smarter, save more and eat better, and makes you the store they choose every week.

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In your brand’s voice. Built into your app.

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Proven impact

Loved by shoppers, proven by numbers

  • +12% Incremental sales
  • 4.2/5 Average rating from shoppers
The app’s chat. The customer asks: “Time to restock my essentials, set up my weekly list please!” The agent answers: “Here are your regulars! Swipe below to add what you need. Quick tip: your go-to olive oil is 20% off today!”, followed by Arbequina extra virgin olive oil on offer at €9.69 instead of €11.05, an Oxheart tomato at €1.20 and Michelangelo burrata cheese at €2.50, each with a button to add it, and a button to add them all for €42.40.The app’s chat with a recipe: homemade caprese pizza, for 2 servings. Ingredients: 1 pizza base and 25 g of fresh basil, both already on the list, 300 g of tomato sauce, 1 mozzarella and 4 tomatoes, all ticked, and 1 tablespoon of extra virgin olive oil, not ticked, with a button to add them to the cart. Instructions: preheat the oven to 220 °C (425 °F) with a baking tray inside; roll out the dough on a floured surface; spread the tomato sauce, olive oil and fresh mozzarella; bake for 8 to 10 minutes until golden and bubbly; top with fresh tomato slices and basil; add balsamic glaze, olive oil and salt, and serve.
The app’s chat. The customer asks: “Any cheaper options for my shopping list?” The agent answers: “Here’s an easy swap to save money on your list:”, with Solís fried tomato sauce in a 350 g carton, on offer at €0.85 instead of €0.95, as the alternative to the 360 g jar at €1.49. The alternative is cheaper per kg: you save €1.70/kg, 41%.The app’s chat. The customer asks: “Help me reduce sugar in my list” The agent answers: “Here are lower-sugar alternatives:”, with Gullón Maria biscuits at 2.65 € (400 g, 6.63 €/kg, 5.9 g of sugars per 100 g) as the alternative to Fontaneda Maria biscuits at 3.35 € (707 g, 4.74 €/kg, 7.4 g of sugars per 100 g). The alternative has less added sugar: you save 1.5 g per 100 g, 20%.The app’s chat. The customer asks: “Make my shopping list local” The agent answers: “Here are local swaps for your list:”, with a locally grown Tessa apple at 0.56 € (200 g, 2.79 €/kg) as the alternative to a Pink Lady apple from Chile at 0.77 € (210 g, 3.59 €/kg).

What the agent does

Less juggling. Better choices. Just ask.

  • The agent builds the regular list from past purchases, so restocking takes a quick review.

  • Customers pick a recipe and the agent adds what’s missing, in the right quantities.

  • The agent suggests cheaper, healthier or more sustainable alternatives, item by item.

Restock without starting over

The agent builds the regular list from past purchases, so restocking takes a quick review.

From recipe to basket

Customers pick a recipe and the agent adds what’s missing, in the right quantities.

Smarter swaps

The agent suggests cheaper, healthier or more sustainable alternatives, item by item.

  • The app’s chat. The customer asks: “Time to restock my essentials, set up my weekly list please!” The agent answers: “Here are your regulars! Swipe below to add what you need. Quick tip: your go-to olive oil is 20% off today!”, followed by Arbequina extra virgin olive oil on offer at €9.69 instead of €11.05, an Oxheart tomato at €1.20 and Michelangelo burrata cheese at €2.50, each with a button to add it, and a button to add them all for €42.40.
  • The app’s chat with a recipe: homemade caprese pizza, for 2 servings. Ingredients: 1 pizza base and 25 g of fresh basil, both already on the list, 300 g of tomato sauce, 1 mozzarella and 4 tomatoes, all ticked, and 1 tablespoon of extra virgin olive oil, not ticked, with a button to add them to the cart. Instructions: preheat the oven to 220 °C (425 °F) with a baking tray inside; roll out the dough on a floured surface; spread the tomato sauce, olive oil and fresh mozzarella; bake for 8 to 10 minutes until golden and bubbly; top with fresh tomato slices and basil; add balsamic glaze, olive oil and salt, and serve.
  • The app’s chat. The customer asks: “Any cheaper options for my shopping list?” The agent answers: “Here’s an easy swap to save money on your list:”, with Solís fried tomato sauce in a 350 g carton, on offer at €0.85 instead of €0.95, as the alternative to the 360 g jar at €1.49. The alternative is cheaper per kg: you save €1.70/kg, 41%.
  • The app’s chat. The customer asks: “Help me reduce sugar in my list” The agent answers: “Here are lower-sugar alternatives:”, with Gullón Maria biscuits at 2.65 € (400 g, 6.63 €/kg, 5.9 g of sugars per 100 g) as the alternative to Fontaneda Maria biscuits at 3.35 € (707 g, 4.74 €/kg, 7.4 g of sugars per 100 g). The alternative has less added sugar: you save 1.5 g per 100 g, 20%.
  • The app’s chat. The customer asks: “Make my shopping list local” The agent answers: “Here are local swaps for your list:”, with a locally grown Tessa apple at 0.56 € (200 g, 2.79 €/kg) as the alternative to a Pink Lady apple from Chile at 0.77 € (210 g, 3.59 €/kg).

More capabilities

One agent for the whole shop.

Every capability works in the same conversation, inside your app.

How it works

Live in weeks, with your team.

Shoptimus plugs into your existing app with only the modules you need, and we work with your team on data and design.

  1. Pick your modules

    Together we choose the features you need, and we set them up for your app.

  2. Connect

    Our team and yours plan the integration.

  3. Make it yours

    Our team checks your catalogue data and adapts the module to your brand and tone of voice.

Built to fit your stack

  • SaaS
  • SDK and API
  • White-label
  • Omnichannel

Trust and data

Secure by design. Compliant by default.

Built for global retail, where trust comes first.

Team

The people behind Shoptimus.

A team with very different backgrounds and one shared goal: better grocery shopping for everyone.

  • Pau Agulló

    Co-founder and CEO

    Entrepreneur and retail AI expert with 25+ years leading data science ventures. Former co-founder and CEO of Kernel Analytics and Partner at BCG X leading European retail personalization, Pau brings strategic vision and deep supermarket industry relationships to Shoptimus AI.

  • David Arazo

    Co-founder and CTO

    Mathematician (UPC) and technical architect with 13+ years designing scalable AI solutions. Former retail personalization lead at Kernel Analytics and corporate advisor, David leads technology and algorithmic development at Shoptimus AI.

  • Eduard Gomà

    Co-founder and Head of Data

    PhD in ICT and Telecommunications Engineer with 13+ years of senior expertise in data science and AI productization across leading firms like BCG Gamma and Telefónica I+D. Co-inventor of 3 international patents with 11 published papers.

  • Leo Coronel

    Co-founder and Head of Applications

    With over 20 years of software development experience, Leo leads the web application team at Shoptimus AI, overseeing both front-end and back-end architecture. As a seasoned full-stack lead and former entrepreneur, he blends technical depth with a strong product vision.

  • Sofia Nordberg

    Product Strategist and UX Researcher

    With 5+ years of UX practice at companies like CaixaBank and ISDIN, Sofia leads user research at Shoptimus AI. Drawing on service and behavioral frameworks, she translates mixed-methods research into strategic product decisions, ensuring alignment from early concept to delivery.

  • Ònia Sancho

    Product Designer and Builder

    Product designer with 10+ years in design, from advertising art direction at McCann and TBWA to leading e-commerce and loyalty products at ISDIN across nine countries. At Shoptimus AI, Ònia leads product design across the entire user journey, from usability testing to a multi-brand design system built from the ground up.

  • Pere Gilabert

    Data Scientist

    PhD in Artificial Intelligence (Universitat de Barcelona) and Data Scientist specialized in Computer Vision and Machine Learning. Former FPU researcher and university lecturer in advanced algorithms and optimization, Pere builds data-driven AI models at Shoptimus AI, powering personalized recommendations, purchase predictions and the shopping assistant’s agentic capabilities.

  • Héctor Suárez

    Software Engineer

    Computer engineer (UPC) specialized in software engineering, with full-stack experience at the university and a final degree project on a modular platform to manage each retailer’s branding, translations and assets. At Shoptimus AI, Héctor works across the full stack, from the product’s web applications to features of the shopping assistant’s AI agent.

  • Mar Torras

    Analytics Engineer

    Computer Engineering graduate (UPC) with a scientific academic background, Mar is an Analytics Engineer at Shoptimus, working across data transformation, analysis, and reporting to develop reliable data solutions and deliver insights that support business decisions.

  • Lucia Bordajandi

    Machine Learning Engineer

    Mathematician and Machine Learning Engineer at Shoptimus. Lucia works on the ML systems behind Shoptimus’s personalized recommendations and shopping assistant, covering everything from data pipelines to model training, evaluation, deployment and monitoring in production.

  • Niebo Zhang

    AI Engineer

    Mathematician and Computer Scientist (CFIS-UPC) with a Master’s in Innovation and Research in Informatics, specialized in Machine Learning and MLOps. Former machine learning and software engineer at Encert, Zurich Insurance and GTD, Niebo builds data-driven AI models at Shoptimus AI, powering personalized recommendations, purchase predictions and the shopping assistant’s agentic capabilities.

  • Brayan Durán

    Software Engineer

    Software engineer (Harbour.Space Institute of Technology) with 10+ years of programming experience and an ICPC World Finals qualifier, previously building backend systems for AI products at VOICO and Harbour.Space. At Shoptimus AI, Brayan works across the full stack, with a focus on the communication layer of the shopping assistant’s AI agent.

Impact calculator

See what it could mean for your sales.

Tell us your size and see an estimate based on real results at our clients.

Estimated extra sales per year

4.8M €

from about 15,000 monthly Shoptimus users

Estimate based on our clients: 12% incremental sales. Not a guarantee.

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Tell us a little about your team and we’ll schedule a personalized demo.

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