Dunnhumby Ventures Invested in Azoma
The investment firm has backed an agentic commerce startup to develop digital twin technology for retail AI.
Updated on Sept. 22, 2026 in Shopping — General
Live Poll
Do you plan to use AI shopping assistants to help with your future household purchases?
Dunnhumby Ventures has provided new funding to Azoma, a firm specializing in digital twin technology that simulates AI shopper personas. The deal aims to enhance how retailers connect AI agent recommendations to actual sales.
Why it matters
Retailers and consumer brands currently lack reliable methods to track how AI-driven recommendations translate into real-world purchasing behavior. This investment targets that gap by utilizing specialized commerce protocols.
Azoma maintains operations in London and Toronto while developing digital twin technology for AI shopping assistant channels. The firm is currently building out its Universal Commerce Protocol and Agentic Commerce Protocol for retailer clients.
The players
Dunnhumby Ventures
This is an investment firm that provides capital to companies focused on improving retail and consumer commerce technology.
Azoma
This is an agentic commerce firm that develops digital twin technology used to simulate AI shopper personas for the retail industry.
Leo Nagdas
He is the head of Dunnhumby Ventures and has joined the board of Azoma to serve as an adviser.
The details
Dunnhumby plans to integrate Azoma's technology to help clients analyze AI shopping channels and agent-based recommendations. Leo Nagdas, the head of Dunnhumby Ventures, has also joined the board of the startup as an adviser to guide its product development trajectory.
Timeline
September 22, 2026: The funding announcement was made.
Culture Shift
The rise of agentic commerce reflects a broader societal move toward AI-automated decision-making in personal consumer habits. By implementing the Universal Commerce Protocol, companies are shifting away from traditional search-based shopping toward autonomous, AI-driven purchasing systems.
As this technology is integrated into retail platforms, shoppers may soon experience more personalized and accurate AI-driven product suggestions. Over time, these improvements could simplify the digital shopping process by streamlining how AI agents handle purchase recommendations.
The takeaway
Retailers are increasingly looking for ways to bridge the gap between AI-generated advice and finalized customer orders. Implementing digital twin simulations allows brands to better understand and influence the emerging world of automated shopping assistants.
Further reading
Learn more about the latest trends in retail technology in our Shopping — General section.
Source note: This article includes information reported by Research Live.
Live Poll
Do you plan to use AI shopping assistants to help with your future household purchases?
