AI Designed For How Retail Actually Runs

We don't bolt AI onto the side. We're building intelligence into the foundation of the platform, starting with the insights that matter most today, and evolving towards a system that guides your teams proactively, in the moment, through the channels they already use.

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AI That Drives Store Performance in Real-Time

Intelligent Schedules

AI-driven intelligence aligns labour to real demand, so your best sellers are scheduled when revenue opportunities are at their highest.

Labour becomes a lever to drive revenue, not just a cost to manage.

AI-driven intelligence aligns labour to real demand, so your best sellers are scheduled when revenue opportunities are at their highest.

Labour becomes a lever to drive revenue, not just a cost to manage.

AI-Guided KPIs

StoreForce applies AI-driven intelligence to continuously interpret store KPIs like conversion, traffic, ATV and UPT - and increasingly act on them.

Instead of diagnosing performance after the fact, teams are guided on what to do while it still matters.

StoreForce applies AI-driven intelligence to continuously interpret store KPIs like conversion, traffic, ATV and UPT - and increasingly act on them.

Instead of diagnosing performance after the fact, teams are guided on what to do while it still matters.

Data-Driven Execution

StoreForce uses AI-driven intelligence to prioritise tasks, communication, and execution based on what's happening in the store.

Teams stay aligned, focused, and consistent without competing priorities. Execution is guided, and increasingly driven, by real-time performance, not just static task lists.

StoreForce uses AI-driven intelligence to prioritise tasks, communication, and execution based on what's happening in the store.

Teams stay aligned, focused, and consistent without competing priorities. Execution is guided, and increasingly driven, by real-time performance, not just static task lists.

How Stores Perform Differently With StoreForce

Know what needs attention, instantly

Managers see where performance is falling short and what to focus on next without reviewing reports or digging through data. Decisions happen in the moment, not after the day is over. And as the platform learns your patterns, it gets smarter about what to surface first.

Put the right people on the shop floor at the right time

Staffing aligns to when customers are actually in the store, so your strongest people are working during the hours that matter most. Labour is used more effectively without constant adjustment or guesswork.

Catch performance gaps before they grow

Stores see results as well as quantified missed opportunities. Teams can address issues early before they impact the segment, day, or week. We’re building towards a system that doesn’t just flag the gap, it suggests the fix.