See the numbers that explain how the business is moving
Business Analytics is planned to turn Storelf activity into clear dashboards for revenue, bookings, customers, and operations.
Local operators need useful numbers without building reports from scratch. Storelf Business Analytics is designed to show what is selling, which slots are busy, how customers are returning, and where attention is needed.
- Track sales, booking volume, revenue, and customer activity.
- Compare products, services, staff, and time periods.
- Understand repeat customers, retention, and loyalty performance.
Analytics preview
The signals owners check first
Product fit
Where Business Analytics helps first
Storelf product modules are designed to be adopted one at a time. Start with the part of the workflow that creates the most pressure, then connect more modules as the business process matures.
Revenue and demand in one view
See the relationship between online orders, appointments, gift cards, loyalty, and customer behaviour.
Operational patterns are easier to spot
Review peak times, popular services, strong product categories, and follow-up opportunities.
Designed for owners, not analysts
Dashboards should help answer what changed, what matters, and what action might come next.
Capabilities
What the module can cover
Revenue
- Sales
- Bookings
- Gift cards
- Average order value
Operations
- Peak hours
- Staff activity
- Service demand
- Inventory signals
Customers
- Retention
- Segments
- Loyalty
- Feedback trends
Workflow
A practical rollout path
- 01
Connect activity across Storelf
Use orders, bookings, customers, gift cards, loyalty, and feedback as the source data.
- 02
Review performance by lens
Look at revenue, service demand, product categories, staff activity, customer retention, and location trends.
- 03
Turn trends into operating decisions
Use the patterns to adjust schedules, promote quiet slots, reorder popular products, or re-engage customers.
Next step
Choose the Storelf modules that match your next operating goal
You do not need every feature on day one. Start with the module that removes the most manual work, then expand from there.