Restaurant
Is your customer at the center of your digital strategy? We provide a range of technologies that allow you to create more convenient ways to engage with a consumer whenever and wherever they happen to be.
Restaurant focus areas:
Mobile & AR Engagement
Mobile apps with enhanced in-store AR Wayfinding, notification system & promotions that provide better experiences and food showcases to customers.
AI Customer Engagement
Our pre-built ML frameworks & solutions help innovate with purpose; put your most loyal customers at the center of the business – from tailored products & experiences to the design of your supply chain.
Equipment Condition
Saas IoT platform that allows businesses to monitor performance & location of assets- predicting failure, receiving alerts, & generating work orders to ensure product and service quality.
Staff Productivity
Theft analytics & prevention, optimization of staffing processes like labor needs for receiving & putting away inbound shipments, labor scheduling, data-driven workflows.
We understand the industry struggles
The restaurant industry is evolving from physical interactions to highly personalized digital relationships, and the range of new technologies a restaurant business needs to employ today can be overwhelming. We offer breakthrough insights and specific solutions that can improve customer engagement, product sourcing plan, store operations & logistics.
► Connected consumer engagement
► Consolidated, omnichannel inventory
► Employee enablement & optimal labor assignment
► Final Mile delivery
Reality check: theft in restaurants today
75% of employees have admitted to stealing at least once from their employer. In the restaurant industry alone, employee theft totals between $3 and $6 billion dollars annually. How can employees steal from you?
The short ring
A cashier under charges a customer, often a friend, for their order or enters a less expensive menu item.
Self imposed breaks
Employees get often distracted and take impromptu breaks without permission, making table turn times last longer and compromising efficiency.
Free food & drinks
An employee on the service line gives a customer, often a friend, more food (extra quantity or items) than the customer ordered.
How can we help?
Our entire system is backed by ML algorithms that handle resource optimization, anomaly detection, cost minimization, recommendation systems, and others. We use a combination of algorithms and if available IoT data against the data you already have in order to identify theft; namely:
► Restaurant inventory
► Theoretical food costs
► POS transactions
► Store labor schedules