Articles written by the crumble-ai team for R&D, quality and regulatory teams: decoding regulatory change, with concrete methods to keep your portfolio compliant.
Trend reports are no longer enough: real market intelligence crosses consumer signals with the internal know-how stored in your PLM. How AI changes the game.
Geopolitical instability has become a formulation constraint. Ingredient sovereignty, multi-source formulation strategies, AI-assisted scenario generation.
The PPWR mandates recyclability, reduction and reuse of packaging by 2030. What food & beverage R&D and packaging teams need to anticipate.
Droughts, erratic harvests, drifting ingredient functionality: why climate variability calls for adaptive, AI-assisted formulation.
Product resilience is not built in logistics but at formulation time. Ingredient dependency, network optimisation, AI-driven sourcing recommendations.
Allergens not emphasised, ingredient lists out of order, outdated nutrition values: the 7 most common EU food-labelling errors and how to prevent them.
Cocoa, butter, coffee: commodity volatility makes frozen recipes untenable. The shift to dynamic, AI-driven formulations within defined quality bounds.
From document retrieval to expert decision support: how AI is transforming regulatory affairs in the food industry.
An additive's maximum dose depends on the food category. A method to check your recipes against EU Regulation 1333/2008 and the Codex GSFA.
