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In a world with constantly evolving food trends and rapidly increasing demands for personalized products, we need more than our existing set of tools to rise to this challenge. The tools of AI and ML have the potential to significantly reduce the effort, time, money and resources in this endeavour, in addition to achieving hyper personalization of packaged foods and customer satisfaction with no compromises in quality.
In the process of food formulation, AI can assist in optimising the R&D workflow to produce formulations with a highly specific set of characteristics, in a highly resource optimized manner, to produce formulation recipes that not only have the desired characteristics, but also have improved taste, texture and shelf life. In a similar vein, AI driven insights can also drive optimal, even highly personalised packaging. Our AI backed solutions cover all aspects of the new product development cycle, from conception of the idea to its launch in the market.
With the recent supply chain crisis, companies have realized the need to accelerate near shore and on shore manufacturing. This acceleration of inbound manufacturing coupled with the shortage of human labor is accelerating the digitization of factories. Our approach of promoting paperless operations, operations visibility, process automation, AI based autonomous process management and computer vision based quality defect reduction allows companies to thrive in this challenging environment.
We developed a platform, for a global food ingredients manufacturer, that can unify data from different repositories, both internal and external. Using this data, we developed an AI-based forecasting model that significantly improved the accuracy of both long and short-term demand forecasting for businesses as compared to their legacy forecasting applications.
