The most productive field teams take over 10,00 photos a month — more than anyone could manually analyze. What insights could be waiting for you in the photos your team is already taking?
Shelf Detection works with the photos your team takes during store visits. Whether it’s a standalone photo or part of a survey, simply snap a photo of the shelf and Repsly automatically sends it to our machine learning “brain” for processing.
Using the latest image recognition technology, Repsly automatically detects every SKU on the shelf and delivers trended insights on market share, competitive facings, out-of-stock indicators, and more via our advanced analytics platform.
Stop counting facings and cut shelf audit time in half with image recognition. Visit more stores, have more meaningful conversations, and spend more time growing share of shelf instead of measuring it.
Execute shelf audit programs faster and cheaper by trading manual shelf audits for simple photo capture — no training required!
Shelf Detection uses machine learning models to identify SKUs with up to 98% accuracy
with zero manual effort.
Measure your brand’s share of shelf in key accounts over time, and track total market share vs. competitors in your category.
Identify the stores where you’re out of stock the most, and drill down to track OOS risk by product.
Track facings over time for key products and accounts, and drill down to view SKU-level performance by store.
Compare real shelf conditions to planogram set-ups and get accurate metrics on perfect store execution at scale.