UdyogYantra is an Industry 4.0 startup, developing patent pending AI & IoT based Products for Food & Agri Tech that ensure real time monitoring and control of Food, Agri and Farm supply chain & manufacturing operations solving the problem of Quality, Quantity and Traceability in the Food/Agri Operations by digitizing the process data and bringing the power of ML & AI for decision making. Solving unaddressed problems like monitoring the Child Nutrition & Health @ Mid May Meals, Authenticating Food Quality & Quantity for Food Delivery Industry, Real Time Authentication Platform to enable Agri Trading, to name a few. Experienced and Cross Functional Team building Full End to End Enterprise Solutions.
Offerings
Offering
UdyogYantra AI – IoT Enabled Cloud Kitchen Management Platform There is a paradigm shift in the food industry in terms of consumer needs and service providers. The Quick Service Restaurant (QSR) , Cloud Kitchens or Internet Kitchens, School Meal Kitchens are few examples of the service, which has grown rapidly and facilitates a consumption shift from home cooked food to food cooked in central kitchens. The food is cooked (mostly assembled and heated) and packaged in boxes and thereafter delivered to be consumed within 30 to 60 minutes. This last mile “defining processes” for a QSR or Cloud Kitchen Food brand could include heating, assembling & packaging of multiple ingredients to be finally served or delivered as a ready to eat meal which the QSR or Cloud Kitchen needs a way to standardize and monitor through technology. UdyogYantra Smart Food QC take sensor measurements from various parts of the food manufacturing & assembling process and feeds data to an AI algorithm running on cloud. It’s a AI based Food Quality Control Product for Cloud Kitchens/Quick Service Restaurants/Commercial Kitchens to acquire critical food and process quality parameters from critical points of the food manufacturing process in customer’s cloud kitchens & that data will be critically analysed through AI engine on Cloud to pass the prepared food through rigorous quality checks to ensure Food Safety, Quality & Hygiene before food is delivered for consumption. Input Inventory is upto 40% of a commercial kitchen’s food cost. Currently most of the inventory management of perishable food inventory is manual from the time it enters the kitchen to the time it is consumed/discarded. The commercial kitchens need to know the cost per plate for each food item they sell on their menu to determine their profitability. They also need to compare the actual inventory to a theoretical inventory so that they can have a clear idea about the reason for discrepancies—waste, theft, expiry, burned food—and start improving on those processes. Tracking food costs and implementing smart inventory forecasting and management techniques helps restaurants have a correct estimate of future expenditures on inventory. Although, conventionally, most restaurant owners keep a track of their inventory manually, the process is usually time consuming and can be subject to human errors. Also, ensuring standardization of inventory helps restaurants / kitchens standardize their food quality and taste as well. The enterprise AI – IoT Enabled Cloud Kitchen Management Platform from UdyogYantra has inbuild UdyogYantra Food Inventory Management System - Kitchen TrackON to solve the complete food inventory management problem for kitchens and restaurants. The system comes along with a cloud based management dashboard for managing the complete process flow within a cloud kitchen from Order Creating, Cooking, Quality Check and Allocating a rider. The platform has remote monitoring and diagnosis of operations capability for scaled up operations of the cloud kitchen chain.
Offering
UdyogYantra Child Nutrition and Health Monitoring IoT - AI Platform ( https://www.youtube.com/watch?v=vj-Qo7E8rkI ) Tracking nutrition and health for millions of school going children both, under school meal scheme and otherwise, using IIOT, ML & AI for real time monitoring of quantity, quality and traceability of meals being served to these children to tag each child to the actual nutrients being consumed and tracking BMI on a daily basis. Importance of Authentication and Monitoring of Child Nutrition In India, 94 percent of children in the age group of 6 to 9 are mildly, moderately, or severely underweight. About 67.5 percent of children under 5 years and 69% of adolescent girls suffer from anaemia due to iron and folic acid deficiency. Protein energy malnutrition (PEM) is a major public health problem in India. This affects the child at the most crucial period of time of development, which can lead to permanent impairment in later life. Undernutrition predisposes the child to infection and complements its effect in contributing to child mortality The Mid-day Meal Scheme is a school meal programme of the Government of India designed to better the nutritional standing of school-age children nationwide. The programme supplies free lunches on working days for children serving 120,000,000 children In 2019, globally 17.3 million schoolchildren received meals from World Food Program in 59 countries Problem is that most of the monitoring of such schemes is manual and hence prone to system level inconsistencies in delivery which puts millions of children on malnutrition related health risks. UdyogYantra Smart Food QC – School solves this problem using IoT & AI at the last mile. UdyogYantra has developed a (design and technology patent pending) IoT Device powered by AI to digitize, authenticate, and monitor in real time the food being served to children at last mile. AI identifies the food contents, it’s nutritional value, facial recognition of child, predicts health trends based on the nutritional intake and BMI. School, School Meals, Mid-Day Meal Schemes of Governments or UN World Food Programme can be tracked to the last student by using AI & IoT to identify the child and the food contents along with the quantity being served to the child in real time. AI Technology ensures that the right nutrition is reaching to the intended recipient child at the last mile.