EsVentory - New food waste management tool launch and workshop

  • Fri 24 Mar 23

    11:00 - 15:00

  • Colchester Campus

    Hale & Gilbert Rooms, Innovation Centre

  • Event speaker

    Somdip Dey, CSEE; Ramanathan, Ramakrishnan, EBS

  • Event type

    Workshops, training and support

  • Event organiser

    Computer Science and Electronic Engineering, School of

  • Contact details

    Somdip Dey

Understanding Commercialisation Potential of Embedded Machine Learning Technology to Reduce Food-Waste at Farm and Shop Levels.

The workshop and launch event of EsVentory is organized by the University of Essex, hosted by the Innovation Centre, Knowledge Gateway, Colchester, on 24th March 2023. The purpose of the workshop is to bring industry professionals and academics from the Agri-Food industry to evaluate the commercialisation potential of a new food management tool using embedded machine learning technology to help the industry cut food waste and improve sustainability.

A team of researchers at the University of Essex has developed a commercial tool - EsVentory that helps manage and decrease food waste for managers and organizations operating in the agri-food industry.

The same team had earlier developed a similar app - Nosh for food waste management, available to individual consumers who want to minimise their household food waste. The Nosh app has already been launched, is freely available for individual users to download, and is one of the leading food waste apps available in the Play Store and App Store around the world. Launched in 2020, the Nosh app was the world’s first AI based food management application for consumers and due to its popularity, it has appeared in numerous news including TechCrunch, The Independent, Business Insider, Essex Live and many more.

The commercial tool - EsVentory is based on an intellectual property on machine learning model developed by the team that is capable of reducing waste by at least 9%. EsVentory will be launched and demonstrated as part of the workshop, which will be attended by industry experts and practitioners, organised by the University of Essex, and hosted at the Innovation Centre on the Colchester campus on the 24 of March. We have invited leading food industry professionals to participate and provide feedback on the tool.

This workshop is being organised as a part of the project titled “Commercializing machine learning to reduce food-waste at farms and shops” and funded by the EPIC BBSRC IAA Commercial Accelerator Fund at the University of Essex. The project proposes to explore the commercialization potential of EsVentory, our new food waste management technology aimed at contributing to the reduction of food waste and the Net Zero emissions goal of the UK.

Project/Workshop organisers and committees



Event Speaker
10.30am - 11.00am  Refreshments, registration, and networking  N/A 
11.00am - 11.15am
Welcome and introduction by Chair (including safety brief) Somdip Dey / Magda Oldziejewska 
11.15am - 11.30am Importance of sustainability and food waste management for businesses  Professor Ram Ramanathan  
11.30am - 12.15pm  Leveraging technology to reduce food waste and improve sustainability  Somdip Dey
12.15pm - 1.00pm
Lunch and networking N/A
1.00pm - 2.00pm
Launch of EsVentory – food waste management app for farms and retails
Introduction of market research team
Somdip Dey / Suman Saha
Professor Ram Ramanathan  
2.00pm - 3.00pm
Interaction with EsVentory and the technology team, and feedback collection

Apply to attend

You are cordially invited to attend the workshop. If interested, please apply through our Google Form.

The organising committee also have access to funding to support travel to the workshop venue and lunch will also be provided. If you require funding, please indicate it in the relevant section of application on the Google Form (please note that funding is limited and thus not guaranteed).

As space at the venue is limited you will receive an email confirming whether or not you have secured a place, along with the status of any funding support you may have applied for.