Webinar: Drive Continuous Improvement at Shelf with Trax-Nielsen Shelf Intelligence
Drive continuous improvement at shelf with Trax-Nielsen Shelf IntelligenceRead more
CPG companies can now pinpoint exactly how specific shelf conditions, such as shelf placements, facings or adjacencies, influence sales. This new offering from Trax and Nielsen in association with Acosta digitizes the shelf, allowing brands to have a more frequent and accurate measurement of how their products are represented in store and how this influences their sales.
Shelf Intelligence Suite is the fusion of Trax’s world-class computer vision and analytics platform and Nielsen’s Retail Measurement Services (RMS), which includes the largest CPG point of sale dataset in the industry. Along with this, Acosta’s unparalleled in-store expertise and data collection capabilities guarantee insights that will drive smarter sales strategies for CPGs.
An ongoing digitized measurement for CPGs to understand in-store shelving conditions for their brands and competitors, shelf compliance and visual proof of store activation. With over 70% of purchase decisions made at the shelf, you need continuous measurement and insights into merchandising conditions to win shoppers at the shelf. Shelf Pulse* is a syndicated data offering that delivers powerful visualization of sales and granular store conditions that has never been possible before.
Benchmark your shelf performance with competition, across stores
Fix specific gaps in shelf execution and maximize compliance
Understand how shelf execution impacts sales to maximize growth
Along with an accurate pulse of the market, we help you build the fundamental principles of your perfect shelf strategy in a more holistic way, with actionable recommendations and outcomes. Shelf Blueprint leverages advanced retail data science models to enable optimal store activation, macro space planning and shelf optimization designs.
Ascertain overall impact of store drivers on sales
Derive sales impact of each store driver and rank them by growth contribution and return on investments
Understand conditions to optimize space allocation
Identify the optimal number of facings based on elasticity levels of SKU and brands
Quantify the relation between product placement and sales
Uncover optimal shelf position with the highest propensity to increase sales across groups of stores
Identify store clusters that have similar behaviours
Adopt a data-driven approach to store clustering to get a new understanding of store segmentation and behaviours
Powered by Trax's proprietary computer vision platform, we digitize shelf images down to SKU-level with unprecedented accuracy.
With our global capability and footprint, we can deliver consistent and reliable data sets from store to shelf to checkout to inform strategic planning based on store conditions.
Leverage powerhouses of shelf analytics and consulting to influence retail space allocation, optimize merchandising and drive sales.