Retailers are racing to deploy AI, but what happens when your newest employee knows everything except how your business works? In this edition of 5 Insightful Minutes, Arber Sejdiji, Founder & CEO of Zenline AI, joins Omni Talk to explain why the key to making agentic AI work in merchandising may come down to one thing: context.
Arber explains why AI agents are like highly educated employees on day one, capable and intelligent but unfamiliar with a company’s processes, products, terminology, and decision-making history. He breaks down how “context engineering” can turn years of merchandising knowledge into a company brain, while AI analyzes everything from retail data to TikTok and social media to identify shopper needs, uncover assortment gaps, and accelerate some of retail’s most important decisions.
Key Topics Covered:
- Why an AI agent is like a new employee on day one
- What “context engineering” means and why it matters for retail AI
- How retailers can turn years of merchandising knowledge into a “company brain”
- Why merchandise planning is one of retail’s hardest AI problems
- How AI can analyze structured data and unstructured sources like TikTok and social media
- How Zenline identifies assortment gaps and emerging shopper needs
- Why speed matters when turning assortment insights into action
- Where retailers can see ROI from AI in assortment planning first
- How AI can move from strategic assortment decisions into operational merchandising
- Why the hardest retail problems may now be solvable with AI
P.S. To explore more conversations from the OmniTalk 5 Insightful Minutes Series, head here: omnitalk.blog/category/5-insight-minutes-videos/
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Omni Talk® is the retail blog for retailers, written by retailers. Chris Walton founded Omni Talk® in 2017 and have quickly turned it into one of the fastest growing blogs in retail.