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Drawing together some of the most cutting-edge insights from The Hive community, with a sprinkle of benchmarking and a healthy dose of practical tips.
Whether it’s a fear of being left behind or wanting to stay ahead of the curve, it’s crucial that retailers adapt to customer expectations, requiring adoption of the latest technology to do the heavy lifting. From achieving a single view of the customer to adopting AI solutions, retailers face significant challenges coupled with substantial opportunity.
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- Mistrust in AI: many employees fear that AI could replace their roles, leading to resistance to adopt of new technologies
- Data control: companies struggle with unclear data ownership and lack of alignment on data standards, limiting the potential of investments
- Integration issues: fragmented systems often hinder the experience for both customers and employees, leading to inefficiencies
The future of retail hinges on data maturity, strategic AI integration, and organisational readiness for change. In this practical guide, The Hive community shares key insights into navigating the complex landscape of data integration and AI adoption…
The leap from ‘cool’ to corporate is tough. Many companies get stuck in pilots and proofs of concept. AI often starts as an exciting experiment, but translating that into something the wider business adopts is a different game altogether.
The tools are often there, even the strategy. But you have to go bottom-up–work directly with teams, help them see what’s possible, and crucially, build something they feel ownership over. Independence in those early phases is really important.”