PreciTaste AI Kitchen Management System

PreciTaste Inc. is a New York-based restaurant AI company founded by Ingo and Laura Stork-Wersborg. It began as PreciBake, automating baking in commercial ovens with AI and winning its first award in 2013, and expanded into restaurants in 2020. With offices in New York City, Germany and India, it works with enterprise and mid-market chains to cut food waste, food cost and labour through AI-driven kitchen task management.

The all-in-one AI kitchen management system starts from an item-level demand forecast down to 30-minute slots, then generates daily prep lists, cook calls and equipment queues, and supplier orders sized to forecast, mix and waste targets. Supporting modules cover voice-guided inventory, checklists, recipe management and real-time analytics, and AI Access lets managers query live kitchen data from ChatGPT, Claude or other models. Vision AI cameras watch display cases, makelines and ovens, while connected equipment such as ovens and fryer exhausts runs the plan automatically.

• Forecast: demand per item, per day, down to the 30-minute slot.
• Prep and production: daily prep lists, cook calls and equipment queues that follow live demand.
• Product ordering: supplier orders sized to forecast, product mix and waste targets.
• Vision AI: cameras over cases, makelines, ovens and the pass feed real stock and quality data into the plan.
• Connected equipment: ovens and fryer exhausts start and adjust programmes automatically.
• AI Access and analytics: real-time KPIs and natural-language questions via ChatGPT, Claude or other models.

• Bakery-cafe and donut chains in Vietnam using cameras on display cases to size daily baking and cut unsold stock.
• Fried chicken and burger QSR franchisees planning prep and fryer batches by 30-minute demand.
• Supermarket in-store bakeries running ovens from vision-based stock detection.

• Less waste: the vendor cites 50% food waste reduction from prep lists sized to the forecast.
• Time saved: more than 4 hours saved per store daily through automatic task distribution.
• Lower costs: 7% food cost decrease and 2% labour cost decrease, according to the site.
• Better availability: Do'Cast cut donut waste by 25% across 90+ Dunkin' stores while keeping over 90% of top sellers in stock at 4 pm.

Quick-service and fast-casual chains are applying AI forecasting and computer vision to the back of house to fight staff shortages, high turnover and rising food costs. Linking forecasts directly to prep, ordering and connected kitchen equipment is emerging as the next step beyond POS reporting, and franchise systems use it to onboard new operators faster.

PreciTaste Inc. is registered at 420 Lexington Avenue, New York, with offices in Germany and India. It won the 2023 Kitchen Innovation Award and first place in AI Beyond Borders, partners with PAR Technology, and lists customers such as Bluemont Group (Dunkin' franchisee), honeygrow, Mac Haik Restaurant Group (First Watch franchisee), Sus Hi Eatstation, Wok to Walk and REWE Group.