Retailers, large and small, are currently facing a growing demand from their customers for faster and cheaper delivery, driven by the likes of Amazon and Quick-commerce (q-commerce) platforms, where same-day and single-hour deliveries are promised. In response, more vehicles, warehouses and delivery journeys have been created in order to fulfil this ever-increasing demand. This has inevitably resulted in increased carbon emissions and negative environmental impacts. The World Economic Forum (WEF) made a projection that, without any intervention, the number of delivery vehicles in the top 100 cities worldwide will increase by 36% until 2030 (WEF, 2020). Consequently, emissions from delivery traffic will increase by 32%, and congestion will rise by over 21%. Anteam was founded to disrupt the logistics industry to reduce CO2 emissions, air pollution and traffic congestion using Artificial Intelligence technology. The early development of the Anteam innovation has received grant funding from the Department for Transport and Innovate UK. This project will focus on the development, adaptation and demonstration of Anteam's AI for a large retailer to improve their fleet's productivity and efficiency, and reduce the cost per delivery, whilst at the same time, reducing their environmental impact. This will help them accelerate their journey to adopt AI and remain competitive whilst contributing to their Net Zero goals, in line with the United Nations Sustainable Development Goals (SDGs).

Anteam is currently creating a community-based logistics network to help meet the growing logistics demand, but without the corresponding negative environmental impact in terms of CO2 emissions, air pollution and traffic congestion. This project is focused on the development of an innovative low-carbon rewards programme to increase the adoption of the community-based logistics network. The community-based logistics network is different to traditional logistics networks. It is a logistics concept that has the potential of changing behaviours and reducing the number of journeys on the road. The Fogg Behaviour Model shows that three elements must converge at the same moment for a behaviour to occur: Motivation, Ability and Prompt. This project will focus on the "Motivation" element to maximise the opportunity for the adoption of the logistics network. It will focus on developing the understanding of a market segment that values helping their local community and reducing the impact of logistics on the environment. With this innovative low-carbon rewards programme, it could significantly increase the environmental and societal impact of the community-based logistics network. It will help establish Anteam and the UK at the forefront of sustainable logistics, capturing a global market that is continuously growing.

I am an intrapreneur and entrepreneur with a successful track record of creating a business in the renewable energy sector based on innovation. The business had grown from 0% to 40% of the UK offshore wind market and the product is ranked only second to GE, globally. I am also a mum of two young children trying to be a good role model for them as well as to other young people. I founded Anteam Ltd. in 2020 during the pandemic. Frustrated by four delivery vans dropping parcels from the same online retailer in one day, I challenged myself to solve the paradox: Can we have a way to move goods without creating an excessive number of trips? I started to think of a way to unlock the power in the community to solve our biggest challenge -- Climate change. Through a feasibility study funded by the Department for Transport through T-TRIG 2020 programme, the enabling AI technology was developed and it demonstrated a minimum of 7 tonnes of CO2 savings over 20,000 deliveries. Through market research, more than 60% of over 300 people we surveyed showed their willingness to use the platform. It has also been identified through market research that creating a trust model among the community is critical to the successful adoption of this innovation. This project will build upon the success from the Department for Transport project to develop and test the trust model, develop a Minimum Viable Product (MVP) and launch the MVP into the market.