Revolutionising retail: The expanding role of AI in enterprise transformation – KPMG

By the Strategy Desk at Progressino


Editor’s note: This article explores Revolutionising retail: The expanding role of AI in enterprise transformation – KPMG for founders, operators, and technology leaders planning their next investment cycle.

Why this topic matters now

Teams are under pressure to ship faster without increasing risk. Revolutionising retail: The expanding role of AI in enterprise transformation – KPMG sits at the intersection of operations, customer experience, and technology debt. Leaders who treat it as a product decision—not a one-off project—tend to see compounding returns across quarters.

If you are evaluating similar initiatives, compare approaches against your current stack, compliance needs, and team capacity before committing to a multi-year platform contract.

Common mistakes to avoid

Buying tools before mapping workflows, skipping data quality checks, and underestimating change management are frequent failure modes. A phased rollout with measurable milestones keeps spend aligned with outcomes.

If you are evaluating similar initiatives, compare approaches against your current stack, compliance needs, and team capacity before committing to a multi-year platform contract.

A practical playbook

Start with a narrow use case, define success metrics upfront, and pair business owners with engineering from day one. For retail and operations-heavy businesses, inventory, billing, and staff training should be designed in parallel—not as an afterthought.

If you are evaluating similar initiatives, compare approaches against your current stack, compliance needs, and team capacity before committing to a multi-year platform contract.

How Progressino can help

Progressino combines an AI product studio, ProPOS for modern retail, custom ERP delivery, and global digital services. That means strategy, design, build, and launch can stay with one accountable partner instead of fragmented vendors.

If you are evaluating similar initiatives, compare approaches against your current stack, compliance needs, and team capacity before committing to a multi-year platform contract.

Related resources

Explore Custom ERP, Our services, and AI in 30 days to see how we help teams move from idea to production.

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