Location aware trolleys open up many possible applications for improving operational performance. In the same way that GPS enables mobile applications such as Google Maps and Uber, our precise indoor location system opens up applications such as trolley management, queue management, and online order fulfilment. We call this our "In-store Staff Assistant".
It is now commonplace for supermarkets to offer “click & collect” and “door to door delivery” services. Bringing this additional convenience to customers is great, but it comes at a cost. It takes time for staff to fulfil orders, and while an experienced staff member might know the location of a particular product, do they know the optimal route to collect a basket of products?
Our In-store Staff Assistant plans the optimal route (think Google Maps), and the staff member simply needs to follow the path to collect the products in the most efficient order.
This is achieved by tracking trolleys armed with Breadcrumb’s precise location awareness sensors.
Trolleys armed with Breadcrumb’s precise location awareness sensors collect shopping path data with centimetre-level accuracy, and this data feeds our MLSS. The simulator can be used to predict traffic patterns based on different store layouts and product placements. This gives us the ability to virtually change the store layout and product placements and immediately see the results and store-wide impact.
Breadcrumb has developed a model which interprets the relationship between in-store traffic patterns and sales. Every product is assessed to see whether it has effectively leveraged the passing traffic. Some products may waste high traffic, and the sales of another products may be limited by low traffic. However, due to ripple effects and the huge number of variables, we can't simply switch the location of products. Optimising the sales of one product might reduce sales of another, so the focus must be on margins. This is why you need a simulator.
Our In-store Staff Assistant monitors every trolley so can report queue numbers and wait times. But not only that, it can also predict in how many customers are going to checkout and when. With this type of real time information at their fingertips, a supervisor can manage staff and checkouts much more effectively.
We'd love to talk about how we can work together.
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