Enterprise Singapore (EnterpriseSG) and the Infocomm Media Development Authority (IMDA) launched a refreshed Retail Industry Digital Plan (IDP) on May 26, 2026, aimed at helping more than 2,000 small and medium-sized enterprise (SME) retailers in Singapore adopt advanced digital and AI technologies to improve operations and grow revenue [1, 2].

The updated IDP places greater focus on AI-powered and AI-enabled technologies across all business functions. These include demand forecasting, inventory optimisation, and generative AI tools for staff training and marketing content creation. The framework has also been reorganized from a digital readiness staging model to one based on business functions, covering front-of-house, back-of-house, and corporate operations [1, 2].

Many SME retailers face uncertainty about where and how AI can make the most impact. The refreshed plan aims to provide clearer guidance on adopting AI to build competitiveness amid changing market conditions [1, 2].

Senior Minister of State for Trade and Industry Low Yen Ling said the retail sector is vital to Singapore's economy but faces mounting challenges. "Costs have risen, manpower remains tight, and competition, particularly from global e-commerce players, has intensified," she said [1]. She added, "This is especially important as AI advances rapidly and redefines how businesses operate, compete and serve customers" [2].

In 2025, 90% of retail SMEs reported productivity gains from digital adoption, including reduced operating costs, increased market share, and higher revenue. These findings underscore the benefits of embracing digital tools for the sector [1, 2].

The refreshed IDP aims to extend these benefits to a broader group of retailers by providing an expanded suite of AI-powered solutions and training support.

The Retail Industry Digital Plan was announced during the Retail Reimagined: From Now to Next event at *SCAPE on May 26, 2026, where EnterpriseSG and IMDA emphasized the plan’s role in guiding SMEs through digital transformation [1, 2].