AUTOMATION AND AI IN BAKERY ENCE


store networks expand. Daily and intraday planning must account for countless variables, from shifting consumer patterns and local events to weather fluctuations and holiday schedules. Rising labour costs, staff shortages, and forthcoming legislation on food waste add further strain to maintaining consistent quality and operational efficiency. For AIPERIA, the solution lies in smarter


automation and intelligent planning tools. As Melanie Adelhardt from AIPERIA explains, AI can streamline production and order planning while tailoring assortments


to the needs of each individual store: “Artificial Intelligence is transforming


bakery operations. By analysing millions of data points, AIPERIA can predict real demand up to 21 days in advance. Thereby, we don’t just look at sales history, we also factor in 150 additional data points such as weather, (bank) holidays, local events, as well as store characteristics such as size, location type (close to a university, school, etc.), surrounding population, and local competition.” The practical outcome is a level of


precision previously impossible with traditional planning methods. AI forecasts


are translated into optimised deliveries and intelligent bake-and-production schedules for intra-day operations, ensuring freshness, high product availability, and minimal waste. The platform is cloud-based, intuitive, and compatible with most ERP systems, allowing bakeries to implement it within weeks and transition from craft- driven to data-driven production processes. Today, AIPERIA is operational across more than 50 bakeries and retailers, covering over 5,000 stores. According to Melanie: “AIPERIA has raised availability from 60% to more than 85% — without increasing waste. Our best


OCTOBER/NOVEMBER 2025 • KENNEDY’S BAKERY PRODUCTION • 33


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40