Real-Time Analytics turns POS data into a live, shared view of performance — giving teams visibility into sales, margin, and units across every store, department, category, product, and time period. With rich filters, side-by-side comparisons, and simple exports, leaders, buyers, and store teams can each pull the exact view they need, when they need it.
Instead of working from lagging reports, teams operate on fresh results throughout the day. Morning decisions can be reviewed immediately to see what worked. Issues spotted at midday can be investigated and fixed before they impact the full day. By the afternoon, performance can be compared across stores and time periods to identify what’s truly driving results and spread best practice faster. By evening, plans for tomorrow are shaped by what actually happened today — not week-old summaries.
With real-time analytics in place, every role benefits from a tighter feedback loop. Leaders see a living picture of performance, operations teams manage by exception, store managers make small course corrections as the day unfolds, buying teams validate decisions earlier, and shop-floor teams receive clearer direction on where their effort will have the greatest impact. The result is faster learning, better execution, and decisions guided by live results rather than hindsight.
Morning
You check how yesterday’s decisions played out – range tweaks, price changes, promotions – with up-to-date sales and margin.
You close the loop quickly and learn what’s working.
Noon
You spot a sudden dip in a category in one store and investigate straight away.
You can fix issues (like gaps, ticketing or availability) before they drag down the full day.
Afternoon
You compare performance across stores and time periods to see which execution patterns are actually driving results.
You spread best practice faster and stop repeating what doesn’t work.
Evening
You review the day’s performance in key areas – by store, department or supplier – and line up actions for tomorrow.
You plan based on fresh data, not week-old summaries.
Real-time analytics shortens the feedback loop for everyone. Leaders gain a live view of performance and can steer the business as results unfold, not weeks later. Operations teams focus attention where things are off-plan, store managers make adjustments during the day instead of after the fact, and buying teams see the impact of decisions early enough to course-correct. On the shop floor, teams get clearer direction on what will matter most today — all driven by live data rather than delayed reports.
Margins are tighter, staff stretched, and data scattered across disconnected tools.
Retail+ brings AI-driven clarity to every decision — from store floor to boardroom — so you can act in real time, not in retrospect.
