Retail operational excellence has a new engine. According to IMARC Group, the global retail automation market reached USD 21.2 billion (approximately €19.5 billion) in 2025 and is forecast to reach USD 40.9 billion (€37.6 billion) by 2034, at a CAGR of 7.34%. AI-driven predictive inventory systems are reducing stockouts by over 40% while cutting excess stock, strengthening working capital and on-shelf availability. In Ireland, Bank of Ireland's head of retail has described the shift towards automation and AI-enabled forecasting as overdue but decisive.

The investment case rests on measurable process improvement, not novelty. AI, robotics, and IoT are enabling retailers to eliminate waste, reduce error rates, and redeploy skilled staff from low-value tasks — the foundational principles of operational excellence at scale. Three levers drive this shift: AI-powered cost reduction; supply chain optimisation; and the redeployment of human capital.

The efficiency dividend is well-documented. According to Shopify's analysis, 94% of retailers report AI has reduced operating costs and 87% report a positive revenue impact, with 97% planning further investment. Morgan Stanley estimates automation can bring efficiency to up to 70% of routine retail tasks, automating a fulfilment centre reduces costs by approximately 60%, and best-positioned retailers could save 5–10% of corporate costs through AI, yielding up to 25 basis points of margin expansion.

Supply chain performance is where automation delivers its most measurable gains. Retailers globally lose an estimated USD 1.77 trillion (€1.63 trillion) annually to inventory distortion. AI-driven forecasting reduces errors by 20–50% and cuts stockouts by up to 65%, directly protecting revenue and margin. Cognizant's Stores 360, launched with ServiceNow in January 2025, is designed to cut store operating expenses by 30–40% through end-to-end process automation.

Automation's most strategic outcome is the redeployment of human capital. Removing staff from repetitive tasks frees teams for customer experience and continuous improvement. IDC projects AI spending will grow at 31.9% annually between 2025 and 2029, with supply chain optimisation among the largest retail investment areas. In Ireland, Maple Group deployed AI-powered food waste technology across its seven Donegal stores in 2025, cutting waste by over 27% and recovering more than €13,000 within ten months.

Capturing these gains demands a sequenced approach. Organisations should first prioritise AI-driven demand forecasting, where ROI is fastest. Second, enterprise-wide data integration must precede customer-facing automation — infrastructure is the non-negotiable prerequisite for smart store performance. Third, Irish retailers should benchmark against European peers and align investment with processes offering the most verifiable returns.

The trajectory of global retail points towards an era in which operational excellence and automation are inseparable. Organisations that treat automation as a platform for continuous process improvement will build leaner operations and stronger margins that define sector leadership in the decade ahead.

(The views expressed by the writer are his/her own and do not necessarily reflect the views or positions of BusinessRiver.)