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Where every experience drives measurable growth

Amit Rohatgi
VP — Product Management, Algonomy
Thursday, 30 April 2026
45 minutes
8:30 AM PDT | 5:30 PM CEST | 9:00 PM IST
Engineering context, not just collecting data
Understanding why assembling the right decision-specific payload — not more data — is what separates personalisation that converts from personalisation that annoys.
Building a Retail Semantic Data Layer
Learning what a semantic layer is, why it matters for retail, and how it changes what your activation channels actually receive at the moment of decision.
Mapping decision contexts to data payloads
Using a practical framework to define exactly which profile traits, intent signals, suppression rules, and consent flags each customer moment needs — and nothing more.
Diagnosing the two silent personalisation killers
The batch trap (profile data updated hours ago) and the data graveyard (CDP stores data but nothing acts on it) — with the architecture fix for both.
Building their own Context Blueprint — live
Completing a structured 10-minute workshop exercise during the session, surfacing real gaps in their current stack with AI-powered gap analysis.
This masterclass is built for practitioners who work at the intersection of data, technology, and retail marketing — and want a practical, architecture-level understanding they can act on immediately.
VP — Product Management, Algonomy
Commerce Unlocked is Algonomy’s ongoing series for retail marketing and commerce professionals — delivering practitioner-level insights, frameworks, and strategies that drive measurable growth. Each edition goes deep on one topic, with no vendor pitch and no surface-level overviews. Just the ideas, architecture patterns, and real-world examples that help retail teams move faster and perform better.
Neither. This is a practitioner masterclass. Amit will walk through architecture concepts, frameworks, and a live workshop exercise. Algonomy’s products are referenced where relevant as examples of how the concepts work in practice, but the session is designed to be valuable regardless of your current tech stack.
A practical framework for context engineering in retail, an understanding of what a Retail Semantic Data Layer is and why it matters, and your own completed Context Blueprint — a one-page diagnostic of your current stack gaps with a specific action to take to your data team.
Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
AI-powered social proof that reads every context and serves what converts.