AI is redefining retail: Now it’s time to operationalise it
Lenovo’s Chadie Ghadie explores how Middle East retailers are moving beyond AI experimentation to embed the technology across customer experience, operations and infrastructure
05 October, 2026
TT
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Retail is entering a new phase, one defined less by experimentation and more by execution.
Across the Middle East, retailers are navigating a more complex environment than at any point in recent years. Cost pressures remain high, consumer expectations continue to rise, and the pace of technological change is accelerating. At the same time, AI has moved firmly into the mainstream, shaping how customers discover products, how stores operate, and how decisions are made across the value chain.
What we’re seeing now is a shift in focus. Retailers are no longer asking what AI could do. They’re asking how to make it work, consistently and at scale, across their own environments.
That question is being driven by pressure on multiple fronts at once: tightening margins, volatile supply chains, ongoing labour constraints, and rising customer expectations, all while being asked to accelerate digital transformation. AI is increasingly where retailers are turning for answers. Recent insights from Lenovo’s CIO Playbook, developed in collaboration with IDC, show how quickly this shift is happening in the Middle East: 92% of retail organisations plan to increase their AI budgets in the next 12 months, and focus on Agentic AI has grown 27% year-on-year.
These investments aren’t happening in a vacuum. IT leaders are making them in response to clear business priorities, and retailers are showing increasing alignment between their AI initiatives and measurable outcomes, including revenue growth and operational efficiency goals.
Confidence in AI’s value is high across the industry. In the Middle East, 91% of organisations expect a positive return on their AI initiatives, generating an average of $2.74 for every dollar invested, reinforcing the shift from experimentation to scale with measurable impact.
What’s emerging is not just a wave of innovation, but a redefinition of how retail operates. AI is being embedded into core processes, from personalisation and merchandising to inventory and store operations, with speed and execution becoming the critical differentiators.
The Store Is Being Reimagined, Not Replaced
The role of the store is evolving as part of this transformation. Physical retail needs to be more connected, more responsive, and more intelligent. Associates are supported by real-time insights, customers expect personalised engagement as a default, and operations increasingly rely on data flowing seamlessly across systems. It’s no coincidence that improving customer experience now ranks as the top focus for AI investment: retailers recognise that every interaction is an opportunity to differentiate.
Delivering that level of capability requires more than isolated solutions. It depends on a foundation that brings infrastructure, devices, data, and services together in a coordinated way.
Why Hybrid AI Matters
Retail environments generate enormous volumes of data across stores, warehouses, and e-commerce platforms, and not all of that data belongs in the same place. Some workloads need the speed of processing at the edge, close to where a transaction or interaction actually happens. Others benefit from the scale of the cloud. Some are best kept on-premise for cost, security, or compliance reasons. Hybrid AI allows retailers to process the right workload in the right place, balancing latency, cost, security, and scalability, rather than forcing every use case through a single environment.
Lenovo’s approach is built around this idea. Combining edge, cloud, and on-premise capabilities to enable intelligence where it matters most, and in collaboration with NVIDIA, the Lenovo Hybrid AI Advantage helps retailers move beyond pilots and proofs of concept towards environments where AI is embedded into everyday operations.
Governance Has to Scale Alongside Innovation
As AI adoption matures, governance becomes just as important as innovation. Retailers need to ensure customer data is protected, that models are accountable, and that AI deployments align with regulatory and organisational requirements. This matters more, not less, as AI moves from isolated pilots into systems that touch pricing, inventory, and personal customer data at scale. Building governance into the foundation of an AI deployment, rather than retrofitting it after the fact, is what allows retailers to scale AI with confidence rather than exposure.
A Connected Retail Ecosystem
One of the most important developments we’re seeing is the move towards more connected retail ecosystems. Customers experience brands across multiple touchpoints, and they expect consistency as they move between them. At the same time, retailers are looking to connect systems, channels, and data in ways that improve both efficiency and engagement.
AI plays a central role in enabling this. Whether it’s supporting store teams, powering customer interactions, or helping optimise operations, the value comes from how these capabilities work together, not from individual features in isolation.
This is where integration becomes critical. Retailers need solutions that fit into their existing environments, scale across locations, and adapt as their needs evolve. That requires both the right technology foundation and the right partner ecosystem to support it.
Bringing the Store of the Future to Life
At Shoptalk Europe 2026, Lenovo and NVIDIA are bringing together the capabilities that Middle East retailers are increasingly asking about, not as concepts, but as working deployments.
The demonstrations reflect where retail AI is actually being applied today:
- AI Retail Assistants: drawing on insights across multiple systems to help service teams resolve customer issues faster and deliver consistent support across in-store and digital channels.
- Retail Floor Assistant: an in-store digital agent that guides shoppers and surfaces relevant products through conversational AI, designed for the kind of high-footfall environments common across Gulf retail.
- Smart Store Services: connecting store systems to monitor operations in real time and surface actionable insights for floor teams and operations managers.
- Digital shelves and predictive maintenance: AI-driven monitoring that reduces downtime and supports more efficient store management across distributed networks.
- Analytics and workflow automation: helping retailers process data and manage operations consistently across multiple locations.
These are not pilots. They reflect where the industry is already moving, and where Middle East retailers, with some of the highest AI investment intentions globally, are increasingly headed.
Partnering for the Next Phase of Retail
Execution is where retail AI strategies succeed or stall. Across the Middle East, 91% of organisations expect positive ROI from their AI investments, but only 46% of proofs of concept reach production. Integration, governance, staff adoption, infrastructure at scale: this is where complexity lives.
For retailers in the region, that execution gap is the defining challenge. Lenovo and NVIDIA are focused on closing it, helping retailers move from pilot to production in the environments they actually operate in. That is what turns AI investment into AI impact.
- Chadie Ghadie is CTO for Lenovo Infrastructure Solutions Group (Middle East & Africa)




















