Nisa is introducing technology company Jisp’s augmented reality (AR) vouchering system called ‘Scan & Save’ in its stores across the UK.
The new solution will initially be launched in 12 Nisa stores in the UK and will enable customers to exclusively save up to 60% on more than 65 products from leading brands including Kelloggs, PepsiCo and Nomad Foods.
The decision to introduce the system nation-wide came after a highly successful trial run. The pilot delivered 82,116 scans, 40,001 taps and 32,895 redemptions on Scan & Save-branded AR vouchers from September to December 2021.
Participating retailers accumulated a combined discount redemption value of £36,211 with over 2,300 unique shoppers, with 81% using the system more than once.
The Jisp consumer app combines computer vision company Scandit’s AR technology, reading product barcodes and presenting exclusive promotions which customers can save and redeem via their mobile phone.
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The solution also aims to minimise carbon footprint and food waste through reduced need for in-store POS. Retailers will be remunerated for each scan and redemption of the voucher, creating an opportunity for brands to incentivise store owners and build loyalty.
“It’s been fantastic seeing our retailers adopt a new, trailblazing digital system in stores of every shape and size across the UK,” said Nisa head of central operations James Taylor. “Scan & Save is a superb solution for any retailer looking to deliver high-end technology that is often only accessible at larger supermarket chains.”
“We’re excited to see more positive results in the upcoming months working with Jisp.”
Jisp chief executive officer Julian Fisher added: “We are thrilled to announce the Scan & Save roll-out with Nisa. Our pilot achieved above and beyond what we hoped to accomplish, benefiting everyone from retailers and brands, all the way to the customers.”
“We’re delighted to be working with Nisa to bring even more retailers our exclusive technology to help grow sales, increase loyalty and understand more about customers’ shopping habits through our data.”
