In-store analytics retail: O2 Handy Shops
The in-store analytics solution accurately measures customer behavior and turns data into actionable business insights. By measuring the optimal interaction time between customers and salespeople, O2 can deploy staff more efficiently, maximizing the sales funnel efficiency at physical stores.
Learn more about how new ways of working with customers and staff gave O2 an edge in:
- optimizing staff allocation
- improving marketing campaigns
- identifying hot and cold spots in stores
Connect with us today
Are you interested in Xovis technology and our solutions?
Use cases, Retail, Smart buildingsHeat maps in retail: understanding zones of interest
Use cases, TransportationLarge object counting: the real costs of bikes and prams
Use cases, Smart buildingsPassenger counting data: fleet and ticketing optimization
Use cases, Smart buildingsPremise occupancy management: automize and save
Use cases, RetailCustomer counting and zone information: staff levels and layout optimization
Use cases, Smart buildingsStaff exclusion: reliable KPIs
Use cases, RetailLoss Prevention and Self-Service Scanning Zones
Use cases, Smart buildingsManaging Occupancy at the Office Canteen
Use cases, RetailSmart Cleaning for Smart Retail
Use cases, RetailBenefits of a queue management system in retail
Use cases, RetailStaff Management Solutions
Use cases, RetailA New Category Manager: In-Store Analytics
Use cases, RetailMeasuring In-Store Dwell Times
Use cases, RetailCrowds and different types of event management solutions
Use cases, Smart buildingsGroup shopping: the more, the merrier
Use cases, Retail, Smart buildingsKnow your customer: gender statistics in retail
Use cases, RetailMultiple stores, one vision: performance benchmarking
Case studies, TransportationEurostar: Traveling fast and relaxed thanks to passenger flow management
Use cases, Smart buildingsElevator operating costs: efficient stops
Case studies, RetailFoot traffic in shopping malls: Identifying hot spots
Case studies, RetailAccurate footfall counting at a bike retailer
Case studies, RetailLuxury furniture and retail people counting accuracy
Case studies, RetailVisitor flow management in a gothic cathedral museum
Case studies, RetailImprove category merchandising based on shopper behavior
Case studies, RetailBoost sales with large area tracking