Manual fixturing replaced by an AI-driven system.
The board approved the investment to build it.
An AI system that automates fixturing and merchandising inside the StoreSpace platform, built on a business case with cost-benefit analysis strong enough to win board-level backing.
investment case
merchandising
optimisation
roadmap
Client
An international retail technology company operating in the global retail space planning market, and the team behind the StoreSpace platform.
Goal
To integrate AI into StoreSpace so client onboarding became simpler and faster, and to strengthen the company’s competitiveness in the global retail space planning market.
Fixturing ran on manual effort, and onboarding took too long.
StoreSpace’s fixturing and merchandising process relied on manual effort. Client CAD plans had to be migrated into the system by hand, and every new client meant more hours of layout work before any value reached the customer.
That manual overhead slowed onboarding and capped how many clients the platform could bring on at once. Store layout decisions, including which categories to place where for the best return, depended on planner judgement rather than data analysis.
Three constraints were non-negotiable:
- Fixturing and merchandising relied on manual effort
- Client onboarding was slow and complex
- Store layouts weren’t optimised for profitability using data
From a CAD migration audit to a board-approved AI roadmap.
The work started with the existing CAD plan migration process, reviewing it end to end to find where automation could remove manual effort. That analysis fed directly into the design of an AI-driven system to automate fixturing and merchandising tasks.
Automating fixturing wasn’t the hard part. Building a business case the board would actually fund was.
Alongside the automation build, AI use cases were scoped for store layout optimisation itself: using data analysis and pattern recognition to identify which category arrangements drove the most profit, rather than relying on planner intuition alone.
Strategic workshops with senior leadership aligned the AI initiatives with business objectives, and that groundwork became a comprehensive business case, backed by cost-benefit analysis, built to secure board-level approval. It closed with a roadmap for AI adoption designed for scalability and long-term competitiveness.
The board said yes.
The engagement turned a manual, effort-heavy process into the foundation for an AI-driven platform, and gave the board the evidence it needed to back that direction. StoreSpace now has both the automation and the roadmap to keep building on 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.