Capgemini global study finds that most retailers are focusing their AI efforts on sales and marketing, when there is a significant opportunity to unleash AI use cases across the value chain
A new study from the Capgemini Research Institute has dispelled some of the mystique around AI’s value to retail businesses and revealed a path to tangible growth opportunities. Capgemini calculates a $300 billion+ opportunity for those retail companies that are able to scale and expand the scope of their existing deployments. However, it is not straightforward – the report found just 1% of use cases by retailers achieved this level of deployment today.
The study, “Retail superstars: How unleashing AI across functions offers a multi-billion dollar opportunity”, looked at 400 global retailers that are implementing AI use cases at different stages of maturity – a group that represents 23% of the global retail market by revenue. The study further included an extensive analysis of public data from the world’s largest 250 retailers, by revenue.
Comparing this data to 2017 equivalents, it delivers a series of reality checks that not only show how far AI has come in terms of concrete returns, but how much value it can deliver if retailers begin to prioritize less complex deployments, and diversify their focus.
The main insights from the report include:
- Over a quarter (28%) of retailers are deploying AI today: The research finds a significant increase of AI deployments from 2017 (17%), and a seven-fold increase from 2016 (4%).
- AI fuels some job creation, negligible losses so far: 71% of retailers say AI is creating jobs today, with over two-thirds (68%) of the jobs being at a senior level (coordinator level or above) . Meanwhile, 75% declared that AI has not replaced any jobs in their organization so far. Those who did say jobs have been cut put the number at 25 or lower.
- AI’s impact: lower customer complaints, higher sales: Retailers are now remarkably aligned on the impact AI is likely to have on customer relations and sales: While expectations have declined from 2017, nevertheless, the report finds that 98% of respondents using AI in customer-facing functions expect the number of customer complaints to reduce by up to 15%, while 99% expect AI to increase sales by up to 15%. This marks a significant change from 2017, where respondents gave widely contrasting expectations from zero, to more than 15%, to “don’t know”. In both business cases, zero respondents reported that they could not quantify AI’s benefit.
As the realities of AI have revealed themselves, companies in 2018 have adopted more realistic expectations regarding their preparedness for it. Those claiming that they have the skills needed to implement AI have now dropped from 78% in 2017 to 53% today. More than eight out of ten retailers in 2017 were confident that their data ecosystem for implementing AI was prepared, and today this figure has dropped to 55%. Finally, those organizations claiming to have a roadmap for AI deployment have dropped from 81% in 2017 to just 36% today.
Kees Jacobs, Vice President, Global Consumer Products and Retail Sector at Capgemini said, “For global retailers, it appears reality has kicked in regarding AI, both in terms of what the technology can achieve and what they need to do to get there. Of course, deploying and scaling will be the next big objective, but retailers should be wary not to chase ROI figures without also considering the customer experience. Our research shows a clear imbalance of organizations prioritizing cost, data and ROI when deploying AI, with only a small minority considering the customer pain points also. These two factors need to be given equal weighting if long-term AI growth, with all of the benefits it brings, is to be achieved.”
