Nutriso: Leveraging IoT for Nutritional Optimization and Sustainable Living
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Equipment & Machinery
Applicable Functions
- Sales & Marketing
Use Cases
- Building Automation & Control
- Time Sensitive Networking
About The Customer
Nutriso is designed for anyone looking to optimize their performance, reduce their carbon footprint, and minimize animal suffering by finding and consuming the most nutritious plant-based foods. This includes former collegiate athletes, Brazilian jiu-jitsu practitioners, obstacle course racers, and anyone else who is 'plant curious'. The app is also a valuable resource for those interested in the 'future of food', such as alternative proteins. Since its launch, Nutriso has grown to reach more than 4,100 people in over 90 countries, and has gone viral within the r/veganfitness and r/vegan communities on Reddit.
The Challenge
Nutriso was conceived with the aim of helping individuals optimize their performance, reduce their carbon footprint, and minimize animal suffering by finding and consuming the most nutritious plant-based foods. The challenge was to create a platform that could rank over 2,300 vegan and vegetarian-friendly foods based on their protein, iron, calcium, vitamins, and other nutrients. The founder, Alex Pethick, had a background in marketing and a basic understanding of CSS and HTML, but lacked the coding skills necessary to bring his idea to life. He needed a solution that would allow him to create a fully-functional web app without having to write a single line of code. Furthermore, he wanted a tool that could handle databases, workflows, and design elements, and produce an app that was indistinguishable from those written in traditional programming languages.
The Solution
Alex discovered Bubble, a no-code platform that offered all the features and tools necessary to build a fully-functional web app. Bubble's drag-and-drop canvas suited Alex's creative process better than the rigid, structured, column-based builders offered by most other no-code platforms. With Bubble, Alex was able to create Nutriso, an app that allows users to select a nutrient (e.g., protein) and find plant-based foods high or low in that nutrient. The app searches through thousands of foods and data points to generate a list of all foods that match the selected criteria. Despite facing challenges and taking a few months to build Nutriso, Alex found Bubble's 'learn on the job' approach an excellent way to learn what he needed to apply.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
