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New RFID and AI technology set to revolutionise performance of West Yorkshire greetings card company
By embedding the new technology, the team are set to dramatically boost the performance of greeting cards in the convenience and forecourt sector. It has been developed as part of a two-year Knowledge Transfer Partnership (KTP), part-funded by the Government through Innovate UK.
Andrew Glen, Managing Director of Riverside Greetings, said: “Many small businesses struggle to access the resources they need to innovate effectively and at scale. By participating in a KTP we’ve been able to work closely with a team at Leeds Beckett University who have helped us to develop this initiative.”
The team has created an automated inventory and category management system that combines AI with RFID technology to analyse and increase the performance of greeting cards - whilst significantly improving the productivity and effectiveness of Riverside’s merchandising service.
The new, patent pending, technology, is now being piloted in several test stores in England. It will allow merchandisers to complete a full stock count of hundreds of cards by design in less than two minutes, with 100% accuracy - versus the current manual counting system which can take 30 to 45 minutes.
Knowledge Transfer Partnership (KTP) - Leeds Beckett University and Riverside Greetings Andrew Glen, Managing Director of Riverside Greetings, shares his experience of working with Leeds Beckett University on a KTP.
Dr Akbar Sheikh Akbari, Reader in the School of Built Environment, Engineering and Computing at Leeds Beckett University, said: “I am delighted with the transformative level of innovation and efficiency provided through the combination of AI and RFID technology in facilitating greeting cards delivery. Benefits include: efficient management of card stocks in shops, delivery vans, and production lines; reduced costs; reduced waste; increased accuracy; and a reduced carbon footprint.”
Riverside Greetings estimate that this new approach will grow sales with existing customers by more than 20%. Riverside’s operational model provides consignment stock for retailers who then only pay for what they sell, which means that they don’t have cash tied up in stock.
Andrew Glen said: “The project is innovative in a number of ways: firstly, because it employs RFID with relatively low value items; and secondly because it will utilise tags in close proximity to each other. This revolutionary new technology is going to provide us with real-time information and transform the overall performance of greetings cards in the sector.
“We are very excited about this new approach. Our conservative estimate for the scale of the opportunity for the sector measures it at £25 million*, a sales figure which will generate approximately £12.5 million of incremental profit for retailers.”
Dr Nick Halafihi, Head of the Leadership, Governance and People Management subject group at Leeds Beckett, said: “Our Academic team have provided support to this KTP across each of their specialist research areas. Thanks to the pro-active, professional and engaging delivery team at Riverside and the KTP Associate, Daniel Lamsdale, a significant and innovative project is reshaping the industry in a dynamic and ground-breaking way.”
Dr Esther Pugh, Research Lead for Retail and Consumer Behaviour at Leeds Beckett, added: "Working with Riverside Greetings on the marketing aspect of the project with our associate, Daniel, has been an absolute joy, and we have been able to fuse marketing theory and concepts with real life practice, to design some innovative brand communications initiatives. We have been delighted to see such fast progress towards achieving our goal of business growth and diversification.”
In this article
Dr Akbar Sheikh Akbari
Dr Akbar Sheikh Akbari joined LBU in 2015. His research interest includes biometric identification techniques, hyperspectral image processing, colour balancing, image source camera identification, image super-resolution, image/video codecs, multiview image/video processing, assisted living technologies, deep learning, and artificial intelligence.
Dr Nick Halafihi
Nick is the Head of Subject for the Marketing and PR & Journalism Subject Groups.
In 2015 Nick won the University's 'Achieving Excellence' Award for 'Team Leader of the Year' and he has also been short-listed for the TES 'most Innovative Teacher of the Year' award. Nick is also a University Teacher Fellow and Principal Lecturer.
Dr Esther Pugh
Senior Lecturer in Business and Marketing with a focus on retail marketing and consumer behaviour. Research lead on retail and consumer behaviour. Specialist in visual merchandising and the retail experience.
