Retailers and manufacturers across the UAE are rapidly increasing investments in artificial intelligence-powered automation as businesses face shrinking margins, changing consumer behaviour and increasingly complex supply chains.
From inventory management and pricing strategies to merchandising and sales operations, companies are now adopting AI agents capable of analysing data in real time, making operational decisions and autonomously executing tasks that were previously handled manually.
The growing adoption of agentic AI reflects a wider transformation across the Gulf region, where organisations are prioritising intelligent automation to improve efficiency, strengthen resilience and support national digital transformation goals.
According to UiPath, retailers in the UAE are under pressure to deliver seamless omnichannel experiences while responding quickly to market shifts and maintaining profitability in an increasingly competitive environment.
AI Agents Help Retailers Eliminate Data Silos
Sulaiman Yusuf, Regional Vice-President for the Middle East and Africa at UiPath, said disconnected enterprise systems continue to slow decision-making across the retail industry.
“In an ideal world, decisions regarding assortment, pricing and promotions should be made quickly and based on hard data,” Yusuf said. “However, merchandising systems, e-commerce platforms, ERP tools and spreadsheets often store information in silos.”
As a result, retailers struggle to access unified operational insights at the speed modern commerce demands. AI agents are emerging as a solution because they can connect multiple enterprise systems, retrieve real-time operational data and automatically recommend or execute business actions.
According to Yusuf, AI agents can simultaneously analyse demand patterns, inventory levels, sales performance and market conditions. Consequently, businesses gain faster insights and improve operational responsiveness.
Dynamic Pricing Emerges as a Key AI Use Case
Pricing optimisation has become one of the most important applications for AI-driven automation in retail.
Retailers managing thousands of stock keeping units across physical and digital channels often find it difficult to manually evaluate price elasticity and predict the impact of pricing changes.
“Manual analysis of price elasticity across thousands of SKUs in multiple channels exceeds human capabilities,” Yusuf explained. “AI agents can perform this analysis for each product individually, simulate the impact of planned changes on demand and suggest adjustments that help protect margins.”
In addition, AI-powered systems are helping retailers optimise markdown strategies and promotional campaigns. Businesses can now align promotions with live inventory levels and changing market conditions more effectively.
Yusuf noted that poorly timed promotional campaigns continue to generate avoidable operational costs, especially when inventory fluctuates rapidly across sales channels.
Manufacturers Adopt AI for Procurement and Inventory Efficiency
Beyond retail, manufacturers across the Gulf are also deploying AI-powered automation to improve procurement, inventory balancing and pricing operations.
Inventory management has become increasingly critical for sectors such as industrial production, logistics and consumer goods. Raw material shortages can disrupt production schedules, while excess inventory creates warehousing and financing costs.
“AI agents equipped with machine learning models can analyse demand patterns and operational signals,” Yusuf said. “Based on this data, they can forecast potential shortages and automate replenishment.”
Manufacturers are also introducing agentic AI into commercial pricing operations, particularly in business-to-business sales environments where quotation speed directly impacts competitiveness and profitability.
Traditionally, sales teams prepared quotations manually using historical data that may no longer reflect current market conditions. However, AI-powered pricing systems continuously monitor raw material costs, production expenses, market conditions and transaction history in real time.
According to Yusuf, reducing quotation preparation times from several days to a matter of minutes could create a significant competitive advantage for Gulf manufacturers.
Shadow AI Raises Governance and Cyber Security Concerns
As AI adoption accelerates, governance, transparency and cyber security concerns are becoming increasingly important for enterprises deploying autonomous AI systems.
Yusuf warned that organisations are witnessing the rise of “shadow AI,” where employees independently use unapproved AI tools outside official governance frameworks.
“Just as shadow IT once emerged, shadow AI is now growing,” he said. “Employees use unregistered AI tools, making processes less transparent.”
The risks associated with shadow AI are significantly higher because AI agents can directly interact with ERP systems, process customer information and autonomously execute transactions.
“The consequences of oversight are significantly more serious than in the case of unauthorised spreadsheets,” Yusuf added.
At the same time, businesses across the Gulf are preparing for stricter AI governance and cyber security regulations as global frameworks continue to evolve. The European Union AI Act has already entered its enforcement phase, while regional enterprises are strengthening compliance requirements tied to AI deployments.
Responsible AI Deployment Becomes a Strategic Priority
According to UiPath, organisations deploying AI agents must establish strong governance frameworks capable of controlling permissions, enforcing policies and escalating exceptional cases to human supervisors.
Yusuf emphasised that “decision provenance” will become essential for regulatory compliance and operational transparency. The concept refers to an organisation’s ability to trace how an AI system reached a decision, including the data used, the rules applied and any deviations from company policy.
For UAE enterprises, the challenge is no longer whether to adopt AI agents, but how to deploy them responsibly at scale while maintaining operational control.
As AI adoption accelerates across the Middle East, retailers and manufacturers are increasingly viewing intelligent automation not merely as a productivity tool, but as a strategic capability directly tied to resilience, competitiveness and long-term growth.
