Gravy Teams with ROIchecker to Predict Foot Traffic for Store-Profit Optimization
Gravy, the location-based behavioral analytics provider, and ROIchecker, the predictive analytics solutions provider that manages event-driven incremental sales in the restaurant industry, announced the launch of VisitCast. The solution helps restaurant chains increase profitability by predicting foot traffic through visit analysis tied to historical and future events and activities customers attend around individual stores.
The partnership combines Gravy’s GOLD local insights and context platform with ROIchecker’s proprietary data modeling analytics, giving restaurant companies the ability to know when store traffic will peak and when it will lag to adjust to fluctuations and optimize profit.
Unpredictable customer flow has been historically one of the main obstacles for restaurant operators to maintain profitable store locations. Now, with VisitCast, built on Gravy GOLD’S historical and upcoming local events and activities data and its AdmitOne™ event and place attendance verification, restaurant operators have visibility into what has, what is, and what will be happening around store locations that impact foot traffic and sales. These unprecedented insights empower operators to know when customers will be attending upcoming events, enabling them to plan ahead for everything from staffing to F&B purchases and even operating hours.
The partnership combines Gravy’s GOLD local insights and context platform with ROIchecker’s proprietary data modeling analytics, giving restaurant companies the ability to know when store traffic will peak and when it will lag to adjust to fluctuations and optimize profit.
Unpredictable customer flow has been historically one of the main obstacles for restaurant operators to maintain profitable store locations. Now, with VisitCast, built on Gravy GOLD’S historical and upcoming local events and activities data and its AdmitOne™ event and place attendance verification, restaurant operators have visibility into what has, what is, and what will be happening around store locations that impact foot traffic and sales. These unprecedented insights empower operators to know when customers will be attending upcoming events, enabling them to plan ahead for everything from staffing to F&B purchases and even operating hours.