![]() Lastly, the product supports the local restaurant industry by helping struggling businesses meet new health and safety guidelines. Alfred’s entire assembly process is designed around cleanliness and safety, reducing cross-contamination and human contact needed to prepare meals. Once Alfred finishes an order, it notifies kitchen staff via a user interface and uses its second arm to drop off the bowl. Alfred accurately portions each ingredient needed for the recipe, ensuring a consistent taste every time. Upon receipt of an order, Alfred immediately begins work – picking up its bowl, using its camera to ‘see’ the selected ingredients and grabbing the correct utensil necessary for each ingredient. Dexai’s proprietary machine learning algorithms reduce waste through accurate and consistent portion control and provide restaurants with invaluable business analytics for better menu decision-making.Īlso, Alfred integrates with existing ordering systems, making processing orders easy. Alfred utilises machine learning and computer vision to ensure low-touch and accurate meal assembly, providing an innovative solution for food preparation venues conscious of safety and consistency.Īlfred is controlled by a tablet, empowering kitchen staff to manage orders and robot activity. Needs To make meals on a budget, to cook a healthy meal is minutes and to use what’s in the cupboard.įrustrations Following a recipe, recipes with too many ingredients, meals that take too long and waste.Dexai’s artificially-intelligent robot Alfred seamlessly works with any ingredient and utensil, in any existing commercial kitchen to fully assemble meals. Ben & Kiki, Age: 35 & 38 The young busy budget conscious family. Juggling cooking, looking at the recipe and timing thingsĪfter completing my user research I was able to narrow my personas down to 2 key user groups.Not remembering where they saved the recipe.Having to wash hands to refer to the recipe.98% will pick a recipe with an image over one without.People try new recipes because they’re bored of what they’re eating.Inspiration is drawn from online, TV, famous chefs, family and friends.Some people follow the recipes and prep ingredients and some can’t be bothered following the recipe.People look online for recipes but can never remember where they save them.People alter the recipe to use what’s in their cupboard to reduce cost and, improve taste. ![]() After completing my user research, I was able to develop two user personas, and develop a solid solution. I conducted user research in order to understand who would need to use this app and why, utilising affinity mapping to understand and organise the results. Although, the app is designed for iPad only and is very outdated.Īlexa has a great feature where you can maintain a shopping list, search from a database of over 365,000 recipes and keep multiple timers. ICookbook has the most features like prepare mode, create and save your recipes, share recipes with friends and kitchen tools. Google home has a seamless voice command and searches all recipes online but but has no visual prompts. I’ve made countless mistakes while cooking because I’ve found it really hard to juggle reading the recipe on my phone, setting a timer, drinking my wine and cooking the food - something needed to change! Competitive analysisĪll of these apps offer a piece of the pie, but when it comes to a fully functioning app, that’s designed well and doesn’t require an external device like google home, it’s simply not on the market. Another cooking app? Well, yes - but this one is different, I promise! I decided to create a hands free cooking app as a passion project.
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