SpringPic IR is part of our commitment to amplifying your expertise by automating and optimizing your store audits. SpringPic captures the state-of-shelf with unsurpassed accuracy, and KPIs are delivered in under one minute. What’s more, recommended next steps are also displayed to enable quick intervention and have an immediate impact.
The neural network is trained to classify client products and pricing to the SKU level, with 96% accuracy and without human assistance. Training of the algorithm to identify new SKUs can typically be accomplished in just one week.
Representatives receive KPIs and action steps with unsurpassed speed – typically 10-30 seconds – so they can institute the best next steps, right there right then, to improve share of shelf, on-shelf availability, and pricing or planogram compliance.
Shelf and locale images can be taken in online or offline mode, and several photos can be combined into one if desired. The software is completely scalable, having accommodated over 20,000,000+ photos and 270,000 visits per month (and counting).
Spring’s Command Center pairs with our IR to provide HQ the oversight and insight to optimize your strategy, and the agility to make it happen. More than just a dashboard, it is powered by AI’s continuous and automated machine learning: it alerts you to any anomalies before they become problems, and provides quickly deployable prompts for corrective or preventive measures that can be sent directly to reps ahead of their next field visit.
Quickly identify and take action on OOS items and empty shelves
40-60% less audit time in the store compared to manual audits; have more time to build store relationships
Align your current state with fair share or planogram in 1-3 minutes
See a potential 5-10% increase in sales through clearer, quicker shelf analysis and faster action
96% SKU level Product recognition & 98%
Reading printed & handwritten price