Coming Soon: Retail Footfall & Sales Prediction
Forecast customer traffic and optimize operations
Turn Foot Traffic Forecasts into Revenue
Predict customer footfall and sales with AI-powered analytics. Optimize staffing, inventory, promotions, and store operations based on accurate forecasts of shopper behavior.
Integrate with your POS, foot traffic counters, and sales data to establish baseline patterns.
Machine learning analyzes weather, events, seasons, promotions, and local factors affecting traffic.
Get daily and hourly predictions with staffing, inventory, and promotion recommendations.
Transform foot traffic data into actionable insights. Maximize conversion rates, optimize labor costs, and boost revenue per square foot.
Hourly, daily, and weekly footfall predictions with peak time identification.
Predict revenue based on footfall, conversion rates, and average transaction values.
Right-size your team for expected traffic with department-specific recommendations.
Stock levels optimized for predicted demand, reducing waste and stockouts.
23%
Labor cost reduction
18%
Sales increase
31%
Less inventory waste
2.4x
ROI in 6 months
All retail formats benefit: department stores, specialty retail, supermarkets, shopping centers, outlets, and high street stores.
We achieve 85-90% accuracy for next-day footfall and 80-85% for weekly predictions, improving continuously with your data.
Ideal but not required. We can work with transaction data and estimate footfall from conversion rates.
Yes, we provide department-level predictions for stores with multiple sections or product categories.
Weather, local events, holidays, promotions, competitor activity, economic indicators, and seasonal patterns.
Most retailers are operational within 2 weeks, with predictions improving over the first month of learning.