To hit these lofty goals, retailers are focusing their efforts on a range of structural improvements like upgrading technology systems (43%), enhancing business agility (42%), and organisational restructuring (41%).
Additionally, 37% are actively streamlining processes to eliminate redundancies, while another 37% are advancing their data analytics capabilities.
Artificial intelligence (AI) is emerging as a key driver of this transformation. Of those planning technology upgrades, 68% are leveraging AI to expedite the process. Process optimisation is an area where AI is proving indispensable, with 55% of retailers deploying AI to standardise operations and enhance efficiency. AI also plays a key role in improving agility (45%) and organisational restructuring (38%).
"We are using AI to handle repetitive, low-complexity tasks, allowing our employees to focus on more strategic initiatives," shared a retail leader from Asia. Meanwhile, an executive from Africa and the Middle East highlighted how AI-driven demand forecasting has significantly reduced both overstock and stockouts, enhancing inventory efficiency by enabling product demand estimation with greater precision.
Data analytics is another frontier where AI is demonstrating its potential. Among retailers prioritising advanced analytics, 72% are integrating AI to refine their insights. "Automated data processing is saving employees time while boosting efficiency and profitability," noted a European retailer.
In North America, a business intelligence leader observed, "AI has been most effective thus far in our Business Intelligence team - it has increased productivity by reducing the time it takes for a BI analyst to translate analytics into digestible formats, like a PowerPoint deck. Where time to market or client isn't increased, quality is - with better metrics presented in a more engaging way."
Igniting innovation
Businesses often prioritise operations over innovation, but retailers are making a concerted effort to invest in growth, with over half of respondents actively investing in new product development and services as a growth strategy.
However, only slightly more than a third (35%) consider themselves effective innovators, demonstrating a need for improved methodologies. Better data-driven decision-making is at the core of this effort. Nearly 41% of respondents are refining how they collect and analyse customer behaviour data to fuel innovation. Others are setting aside dedicated budgets and resources (33%), reimagining the customer journey (30%), and deploying AI-powered personalisation strategies (29%).
AI is becoming a key tool in retail's quest for differentiation. "AI has the most positive impact when engaging with our customers digitally by using personalised marketing messages that drive sales," a North American CTO explained.
A European CFO echoed this sentiment, highlighting how an AI-powered customer relationship management system frees up sales teams. "The Customer Relationship Management system, built internally using AI, is set to have a significant impact on the business by reducing admin time for the sales team, allowing them to engage more effectively with customers", they shared.
Three-quarters of retailers establishing innovation labs are leveraging AI to accelerate breakthroughs. Meanwhile, 69% of those dedicating resources to innovation are using AI to enhance product development workflows. The momentum behind AI adoption is evident.
The push for new technologies