Intelligent Automation in Retail - Smart Stores: Dream or Dystopia?
This blog post has been adapted from a longer piece. You can read the full version here.
Imagine the store of the future. You walk in and are guided to exactly where you need to go. As you walk around, personalised offers appear on display screens, helping you save money. Products you had forgotten to put on your list light up as you walk past them, so you can conveniently pick them up and put them straight in to your basket, which keeps a running total of your shop. The integrated screen suggests the perfect items to complement things you have already chosen and guides you to them. The basket also suggests the best route for you through the store, and redirects you away from crowded areas, so that you can come back when they are quieter. Staff no longer have to perform repetitive tasks. Suspicious behaviour will be detected, and the store will alert staff if someone who is banned tries to enter.
Imagine the store of the future again. You take a deep breath and walk in, ready for the onslaught. Your basket immediately starts pinging away at you, telling you which way to go. But you don't want to go that way. The store is desperately pushing products you bought before, or trying to upsell to you. Things are lighting up all over the place, distracting you from your shopping list, and there are no staff to help with queries because everything is done by robots. When you do find a staff member, they answer distractedly and hurry off to fill some shelves, because their every movement is tracked. You are overwhelmed and stop in a corner for a breath, where another staff member appears and asks why you are loitering. Or, instead, you take a deep breath, walk into the store, and an alarm sounds immediately. You are asked to leave by security, but you are not sure why. It seems that they are not sure either. You have to drive to another store, and hope you are allowed to shop there. Clearly this is a nightmare scenario that no retailer would want to create.
These developments are still a few years away, but as we design future store experiences, we must ensure we don't inadvertently create the nightmare customer experiences described in the second scenario. So, how should we assess possible automation decisions? We have identified three key considerations as a starting point.
Business Case: will the automation create value and differentiation? How costly and how feasible is it? For example, self-checkout is proven technology, and could be a differentiator in a bookshop.
Brand Experience: does it improve experience for customers and staff? Does it provide better experience than a human would? How do customers feel about it? For example, bookshop customers might prefer to chat to staff about books while they are paying.
Ethics: could this automation have unintended negative effects, and could the business goal be achieved in a more privacy-preserving way? Are customers aware of the automation? For example, in the bookshop, customers will be aware that they are interacting with a self-checkout device and will not need to share any more data than usual. However, an unintended consequence could be to exclude customers unable to use self-checkout if no alternative is available. Some use cases, such as those based on video analytics need more careful ethical consideration, as customers may be unaware and unable to consent.
There are many benefits to automation. To create the most positive outcomes for customers, employees and shareholders, new automation use cases should be implemented with thought given not just to the business case and how it will reflect on the brand, but with thorough consideration of ethical implications too.
Laura is techUK’s Programme Manager for Technology and Innovation.
She supports the application and expansion of emerging technologies across business, including Geospatial Data, Quantum Computing, AR/VR/XR and Edge technologies.
Before joining techUK, Laura worked internationally in London, Singapore and across the United States as a conference researcher and producer covering enterprise adoption of emerging technologies. This included being part of the strategic team at London Tech Week.
Laura has a degree in History (BA Hons) from Durham University, focussing on regional social history. Outside of work she loves reading, travelling and supporting rugby team St. Helens, where she is from.
Sue leads techUK's Technology and Innovation work.
This includes work programmes on cloud, data protection, data analytics, AI, Digital Identity and Internet of Things as well as emerging and transformative technologies and innovation policy. She has been recognised as one of the most influential women in UK tech by Computer Weekly and as a key influencer in driving forward the Big Data agenda in the UK Big Data 100. Sue has also been shortlisted for the Milton Keynes Women Leaders Awards and was a judge for the Loebner Prize in AI. In addition to being a regular industry speaker on issues including AI ethics, data protection and cyber security, Sue was recently a judge for the UK Tech 50 and is a regular judge of the annual UK Cloud Awards.
Prior to joining techUK in January 2015 Sue was responsible for Symantec's Government Relations in the UK and Ireland. She has spoken at events including the UK-China Internet Forum in Beijing, UN IGF and European RSA on issues ranging from data usage and privacy, cloud computing and online child safety. Before joining Symantec, Sue was senior policy advisor at the Confederation of British Industry (CBI). Sue has an BA degree on History and American Studies from Leeds University and a Masters Degree on International Relations and Diplomacy from the University of Birmingham. Sue is a keen sportswoman and in 2016 achieved a lifelong ambition to swim the English Channel.
Zoe is a Programme Assistant, supporting techUK's work across Policy, Technology and Innovation.
The team makes the tech case to government and policymakers in Westminster, Whitehall, Brussels and across the UK on the most pressing issues affecting this sector and supports the Technology and Innovation team in the application and expansion of emerging technologies across business, including Geospatial Data, Quantum Computing, AR/VR/XR and Edge technologies.
Before joining techUK, Zoe worked as a Business Development and Membership Coordinator at London First and prior to that Zoe worked in Partnerships at a number of Forex and CFD brokerage firms including Think Markets, ETX Capital and Central Markets.
Zoe has a degree (BA Hons) from the University of Westminster and in her spare time, Zoe enjoys travelling, painting, keeping fit and socialising with friends.