In a fast-moving world, retailers need to better understand consumer behaviour in real-time, measuring footfall and spend in physical spaces, such as high streets, shopping malls and retail parks. But traditional hardware-based footfall technology is slow and expensive to install, provides limited visibility of what is happening in competitor shops and cannot predict transactions and spend. Retailers therefore suffer when it comes measuring their own performance, planning new shops, or monitoring competitors.
Transforming retail insights
with pinpoynt.ai
Pinpoynt.ai provides a transformative, software-based alternative to physical footfall sensors and cameras. By using advanced machine learning algorithms, it is able to infer physical and transactional footfall in specific shops and stores, anywhere in the world, without requiring any hardware and preserving anonymity.
Pinpoynt.ai has been created by leading UK AI company Yellow Sub AI, using its proprietary machine learning and quantum mechanics technology originally developed within JLAB, the John Lewis/Waitrose business accelerator.
Retailers can zero in on any location, such as a shop in a particular town, giving granular data and insights on a day-by-day basis. The result? Access to real-time footfall and spending patterns, enabling better-informed decision-making around:
- Understanding competitor activity on a store-by-store basis
- Scoping out the best locations for new stores
- Measuring the impact of marketing campaigns at a granular level
- Optimising store layout, staffing and visitor flows, based on real-time data
uncover footfall and
spending patterns,
anywhere in real
time
keep track of our journey here
