The AI-Powered Retail Tool
The AI-Driven Staffing Tool combines visitor flow and sales data to ensure the right staffing at the right time.
Powered by an AI platform developed by experts in retail and visitor flow, Retail Insight provides you with a powerful tool to optimise workforce planning.
By combining visitor data and sales data, you gain highly accurate scheduling that maximises the potential of every customer visit.
The result? Increased productivity and revenue.
With Retail Insight, you get schedules tailored specifically to your store.
Forget generic planning tools
The Solution
AI-Driven Staffing for Smarter Decisions
With AI-assisted staffing, you gain access to advanced forecasts that help you optimize workforce planning in retail. By utilizing vast amounts of data – including sales figures, visitor flows, seasonal variations, local activities, and holidays – the tool creates schedules tailored to real-world needs.
Why Choose Retail Insight?
1
Data-Driven
Receive precise hourly forecasts and optimise staffing based on store visits.
2
Increased Productivity
Maximise each employee’s work time by ensuring they are in the right place at the right time.
3
Tailored
We create schedules that suit your store, regardless of size or industry.
4
SUPPORT
Our team supports you in getting started efficiently.
To ensure a smooth implementation and help you maximise productivity from day one, we also offer consulting services from one of our dedicated specialists, ensuring the right staffing at the right time for your store.
Supporting You Every Step of the Way with Expert Consulting
Save Money and Increase Customer Satisfaction
Our schedules ensure you always have the right number of employees on hand in retail, leading to increased sales and reduced costs. Satisfied customers return and recommend your store.
CASE: Small Adjustments Can Lead to Significant Results
For the Norwegian jewelry and watch retailer Bjørklund, a small shift in visitor patterns compared to expectations had a significant impact on revenue.
Over three days, the peak in store visits shifted by two hours on Monday, Tuesday, and Wednesday, leading to incorrect staffing levels.
We identified a revenue loss of €50,000 per day because staffing was not adjusted to match the visitor patterns.
This highlights the importance of using both visitor and sales data to predict accurate staffing levels and optimize personnel in real-time.
The Challenge
Achieving The Right Staffing Balance
Achieving the right staffing balance is a major challenge in retail. Having too many employees leads to high labor costs that cut into profits, while too few staff can result in dissatisfied customers and stressed workers.
Be the First to Experience Smarter Staffing
Sign up now for the opportunity to be among the first to get a demo of our AI-powered platform and gain early access. Get exclusive insights into how you can optimise staffing with data-driven precision.
Don’t miss the chance to boost productivity, reduce costs, and forecast better results.
Join the waitlist today!