Caskly offers an AI‑powered platform that provides real‑time, hourly demand and sales forecasts for independent hospitality venues. By analyzing hundreds of local environmental and contextual factors, it predicts foot traffic and product demand, delivers staffing and inventory recommendations, and sends alerts when actual performance deviates from forecasts, helping owners and managers reduce waste and improve profit margins.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitality venues such as pubs, restaurants, and coffee shops face rising operating costs, unpredictable customer demand, and pressure to modernize while preserving their unique character. Without data‑driven tools, owners and managers struggle to schedule staff efficiently, manage inventory, and anticipate busy periods, leading to waste and lost revenue.
Solution
Caskly provides an AI‑powered platform that delivers real‑time demand forecasting and sales predictions tailored to each venue. By ingesting hundreds of local environmental and contextual parameters, the system predicts hourly foot traffic and product demand, allowing managers to align staffing levels and inventory orders with expected demand. The platform compares forecasted versus actual performance, sending push or email alerts when deviations occur, so operators can quickly adjust. Customizable dashboards present actionable insights without requiring deep technical expertise, enabling independent hospitality businesses to benefit from the same data capabilities as large chains while retaining their distinct identity.
Target Audience
Primary customers are owners and managers of independent pubs, restaurants, coffee shops, and similar hospitality establishments seeking data‑driven operational guidance.
Features
- Hourly foot‑traffic forecasts generated from local environmental, event, and weather data
- Product‑level demand predictions to reduce over‑stock and minimize waste
- Real‑time comparison of forecasted versus actual sales with cost impact analysis
- Automated staffing recommendations that align labor schedules with predicted busy and quiet periods
- Live push and email notifications for significant forecast deviations
- Fully customizable dashboards tailored to each venue’s specific parameters and metrics