Mondra
Supply chain sustainability
Tracking 1m ingredients manually bottlenecked progress. Grocers now query digital twins to simulate reformulations instantly.
- 18% carbon emissions reduction for lasagne product
Assessing one product took weeks. Now, an AI copilot models 60,000 items in four hours to simulate lower-carbon recipes.
A software platform serving 90% of UK grocery retailers tracks environmental data for over 60,000 products and one million ingredients.
Generating lifecycle assessments involved manually collecting data from multiple sources, a process that took several weeks or months for a single...
“If we can deliver automated lifecycle assessment at scale, we can give food producers and retailers the insights into their products so that they could work to improve them collaboratively with their supply base.”
AI-powered supply chain intelligence platform for the food and beverage industry.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Tracking 1m ingredients manually bottlenecked progress. Grocers now query digital twins to simulate reformulations instantly.
Writing code to access city data slowed ops. Teams now use plain English to pull complex logistics insights instantly.
Spreadsheets bottlenecked recipe development for years. Vertex AI models now simulate taste and texture variables in days.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.