Hari Krishnan Forget foot traffic — retail’s competitive edge now hinges on data fluency and AI-powered decision-making, as the consumer landscape shifts fast.
Retail’s obsession with footfall has faded. Today, the sharper concern is whether their data infrastructure can keep pace with increasingly fluid consumer behavior. At ETail Connect, held in both New York and Los Angeles, retail executives spoke less about store formats and more about “data gravity”—the accelerating pull of analytics into every commercial decision, from promotional mechanics to procurement risk.
Retailers are waking up to a new reality: consumers are not merely online or offline—they’re omnipresent and expect brands to be equally nimble. That agility, executives argue, depends on how well data flows through their operations. Without unified visibility across inventory, marketing, and customer touchpoints, the chance to deliver timely relevance disappears.
Artificial intelligence is amplifying the stakes. Leading retailers are deploying AI to personalise product assortments, anticipate demand spikes, and optimise promotions in real time. But the tech is only as good as the data it ingests. “We’re sitting on a mountain of information, but most of it is still in silos,” admitted one CMO of a national apparel chain. “That’s the real challenge—not access, but integration.”
As AI adoption widens, those who can harmonise first-party data across their supply chains and CRM systems are pulling ahead. The laggards? Still wrestling with legacy platforms and organisational silos. The shift underway is less about digital transformation and more about decision transformation—who makes them, how fast, and with what confidence.
In short, retail’s new race isn’t for location—it’s for intelligence.
