Page 59 - Banking Finance June 2024
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FEATURES




               How AI & automation are making



                 retail come alive for the new gen





         R      etail customers are changing so dramatically that  The path to AI

                retailers say the only way to provide the experiences
                                                              Dealing with this level of speed, personalisation, accuracy,
                customers expect is to adopt AI and automation.
          Yashwanth Kumar, group president of customer loyalty &  and complexity is humanly impossible. So, retailers globally
                                                              are digitally transforming themselves to be able to use tech-
          analytics at Landmark Group, owners of retail brands like  nologies like AI and automation. This is the reason why many
          Lifestyle and Max, says customers have become very digital  of the world's biggest retailers - including Walmart, Ama-
          savvy and want the same experience in both online and
          offline.                                            zon, Lowe's, Target, Tesco, Lululemon - have big technol-
                                                              ogy centres in India. It's the reason why large Indian retail-
          If they go to a website, they want recommendations, which  ers are charting a similar course.
          is what a good sales person would do in a store. And in a
                                                              Siddhartha Niyogi, CEO of o9 Solutions India, which provides
          store, they want instant billing and self-service, like in online.
                                                              analytics and AI/ML solutions for faster planning and deci-
          They are also the Blinkit generation - they want quick re-  sion-making, says retailers are also using AI/ ML for improv-
          sponses, instant rewards and resolutions. This generation,  ing the assortment in stores, to optimise channels of distri-
          Kumar says, is far more discerning too. "When I was  bution, predict demand, to improve effectiveness of promo-
          younger, we had this concept called Friday Dressing - you  tions, to optimise discounts.
          had workwear and then you had Friday dressing, and then
          what you wear on weekends. Now, new-gen customers have  Ganesan V P, the distribution sector leader at IBM Consult-
          10-15 different shopping occasions - partywear, wedding  ing, India/South Asia, says AI has become a boardroom topic
          wear, engagement wear, hangout with family wear, and so  because of the potential it has to solve the challenges in
          on. There are those who want comfort in everyday wear,  retail. But he says the implementation needs to be thought-
          but in party wear, they are not particular about comfort or  fully done to get the best outcomes. The first step, he says,
          quality, they just want to look nice," he says.     is to have a vision and intent - be clear what are the prob-
                                                              lems you want to address.
          Kumar Rajagopalan, CEO of Retailers Association of India
          (RAI), says the concept of loyalty is also changing for retail-  Once that's done, you need to ensure you have the data
          ers. "The traditional method of loyalty was that, if a cus-  necessary - AI learns from data, and the more good data
          tomer was not buying from us, then we would go and give  you have, the better the AI solution will be. Data, Ganesan
          them incentives to come to us. But if they were already our  says, is often the biggest limiting challenge, because the
          customers, then we would not give them any special price  data is in various forms and shapes in different places, and
          or gift. Those days are over. Now, we as retailers have to  they need to be brought together. Niyogi says while e-com-
          show our loyalty to the existing customers, to keep them  merce tends to be rich in data, it's much harder to get data
          shopping with us," he says.                         for brick and-mortar stores. But brick-and-mortar, he says,
                                                              is today ripe for interventions.
          Customers, Rajagopalan says, also expect to be recognised
          wherever they are - be it online, offline, whichever geo-  The third step is to identify the best AI or Gen AI model.
          graphic location they are in - and expect to be served quickly  Today's large language models are built on top of a lot of
          and accurately. "The attitude is, I'm not going to wait for  data. But there are often questions around the quality of
          you to give me some excuses, if you recognise me fine, if  that data. So, Ganesan says, you may have to finetune that
          you  don't  recognise  me, I know  somebody who  will  model, or maybe even build your own model, which can be
          recognise me," he says.                             expensive. (The Times of India)


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