
After identifying potential quick-win opportunities, experimenting with an expert partner is the next crucial step. While internal AI expertise is ideal, it is often lacking in retail organizations. Therefore, finding the right external partner becomes pivotal to determining what is feasible in the short and medium term.
Choosing the right partner involves:
The emphasis is on finding partners willing to work in 2-4 week sprints, allowing organizations to assess progress and make informed decisions. This partner should have a small, efficient team working swiftly to generate proof points while effectively managing resource hours.
For organizations lacking internal AI expertise, there is a plethora of boutique AI consulting firms, dedicated analytics firms, and software companies eager to assist. The key is finding a partner who understands the problems and has successfully addressed similar issues. The partner should be willing to work lean and fast, align with the organization's interests, and provide tangible results in short sprints.
To learn more, download: AI Playbook for Retail, by Dr. Mark Chrystal

New York's personalized pricing ban, the AWS commerce platform launch, Anthropic's IPO filing, and a chip shortage threatening Q4 electronics margins. Retail AI Weekly, June 8, 2026.

Catalyst Brands deployed humanoid robots under a live commercial contract at JCPenney distribution, Dick's Sporting Goods launched an AI adviser that scales in-store expertise to every app user. The distinction between AI as a tool and AI as an operator has effectively collapsed, and the implications for retail operations, security, and competitive strategy are immediate.

Google confirms live AI checkout at Nike, Walmart, Target, and Sephora. Walmart's Sparky lifts average order value 35%. Klarna connects 400 million listings to ChatGPT. This week, agentic commerce moved from announcement to deployment, and the gap between retailers who are ready and those who are not became measurable.