Case Study: Maspex achieves better user engagement with MakoLab’s AI-powered culinary assistant

A MakoLab Case Study

Preview of the Maspex Case Study

Maspex launches AI chatbot in 6 months with MakoLab

Maspex, a leading player in the Central and Eastern European food industry, sought to enhance user engagement on its Uwielbiam.pl culinary platform by integrating advanced AI-driven tools. The challenge was to create a seamless, intuitive experience that could provide personalized culinary guidance, suggest recipes, and offer ingredient substitutions in real time. To address this, Maspex partnered with vendor MakoLab to develop an AI-powered conversational assistant.

MakoLab implemented a solution using the Claude large language model, LangChain, and Amazon Bedrock to build a chatbot that delivers personalized recipe suggestions and natural, context-aware interactions. The project was deployed within six months, positioning it as a first in Poland's FMCG sector. The results included a significantly improved user experience through natural conversations and a scalable, secure infrastructure with potential for deployment in other sectors like e-commerce and banking.


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