Automated Kitchen Innovations for African Restaurants
Automation is revolutionizing the restaurant industry – including African restaurants – while it may come with some downsides, this technology has numerous advantages that outweigh any negatives.
One way in which artificial intelligence (ai) helps restaurants reduce costs is through automating business processes such as ordering and inventory management, as well as helping reduce food waste through optimized orders.
1. Automation
Many may not consider their mixer or blender high tech, but automation technology makes them high-tech devices – performing tasks such as chopping or mixing without human supervision. Automation technology also proves helpful in cooking environments where no human supervision is available – no more drowsy chefs and fire hazards caused by leaving food unattended!
Restaurants can use automation to monitor food temperatures for safety. With these technologies in place, staff can focus on other important tasks – like providing outstanding customer service – while automation becomes more affordable and accessible, more restaurants may adopt it in the future – creating a happier, safer, more efficient kitchen space overall.
2. Robotic Preparation
The COVID-19 pandemic may have made us wary of anything touched by human hands, yet many may now be more open to dining at restaurants with robot-prepared food preparation. Robotic kitchen innovations reportedly increase food consistency and safety while lowering restaurant operating costs.
Moley Robotics’ innovation takes the hassle out of home cooking by enabling users to upload recipes, which will then be automatically prepared by one of its robotic arms. The arm gathers ingredients, cooks the dish and transfers the finished product directly into their bowl for consumption.
AI-controlled robot chefs use sensors mounted onto their utensils to track and evaluate cooking techniques. They can sense textures, touch, force and send back detailed reports back to their operating systems.
3. Predictive Analytics
Each time you use a food delivery app, a digital footprint of your choices, timings, and location is left behind – providing businesses with invaluable data that they can use for predictive analytics purposes.
Predictive analytics differs from traditional business analytics, which focus on past performance, in that it predicts possible future outcomes and suggests automated actions. It uses big data and machine learning techniques to process large volumes of information to identify future trends and predict them accurately.
Predictive analytics has become a ubiquitous technology used across various industries – healthcare, retailing, transportation and manufacturing among them. Airline manufacturers can integrate predictive models into their systems to forecast component lifespans and optimize maintenance, as well as detect any possible fraudulent activity such as credit card fraud or insider trading.
4. Automation of Inventory Management
Although robots may not yet be ready to completely take over your kitchen, they can free up employees to focus on providing exceptional guest experiences – and help deliver on the high standards you set for your establishment.
Business automation tools such as Business Control System allow restaurants to track incoming food shipments and monitor stock levels to ensure their kitchen has all of the ingredients it needs before their ingredients expire, thus eliminating food waste and saving both time and money.
Tracking inventory is essential to running a successful restaurant, yet can be time consuming and inaccuracy can cost your business dearly. AI can streamline this process and increase accuracy while saving money through decreased purchasing needs as well as waste from theft or inefficiency.
5. Customer Service
Many ghost kitchens employ artificial intelligence (AI) to efficiently transport and distribute ingredients, from the time they’re shipped from their warehouse to when it reaches a restaurant’s kitchen. This helps ghost kitchens save money by optimizing delivery processes and decreasing how much food ends up going to waste.
Smart kitchens provide QSR brands with an opportunity to improve customer experiences across in-store, drive-thru and mobile orders. A voice-enabled drive-thru that understands customers’ dietary restrictions and allergies takes away some of the guesswork when ordering food.
Geolocation data allows digital customers ordering on smartphones to let the kitchen know when they are nearby and suggest they pick up their order curbside or in store rather than waiting at a drive-thru window. Furthermore, this ensures mobile orders are processed accurately.
