Two new platforms.
One AI data engine behind them.
An AI-powered data fabric feeds two new app-based platforms built on machine learning and predictive analytics, giving a fine wine investment firm real-time insight into its customers and room to grow.
built from the ground up
every decision
driving engagement
and customer decisions
Client
A UK-based fine wine investment firm.
Goal
The firm set out to deepen customer engagement and expand its market reach by building two new app-based digital platforms.
A crowded market with nothing to make customers stop and look.
Fine wine investment is a competitive space, and the firm’s existing digital presence gave customers no reason to engage beyond the basics. Creating a digital touchpoint that actually meant something to an investor, rather than just another portal, was the real problem to solve.
Any platform built to fix that also had to last. It needed the scalability and security to support growth, not just look good at launch.
Key constraints:
- Creating meaningful digital touchpoints in a competitive market
- Ensuring scalability and robust security for growth
One data fabric, two platforms built on top of it.
The foundation was an AI-powered data fabric, built to support data-driven decision-making across the business rather than sit behind a single app. Two digital platforms were then developed on top of it, each using machine learning and predictive analytics to engage customers in ways a static portal never could.
The platforms don’t just display data. The data fabric underneath makes every customer interaction a decision point.
System architecture and infrastructure were optimised specifically for scalability, security and performance, so the platforms could take on more users and more data without breaking down.
None of it happened in a silo. Cross-functional collaboration kept the technology tied directly to business goals, turning the build into a genuine digital transformation rather than a bolt-on app project.
Two platforms, and a data engine built to keep growing.
The firm moved from a single competitive disadvantage to two live platforms with a genuine AI backbone, built to grow with demand rather than strain under it.
* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.
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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.