
market share gain
time saved
Reversed a 60% loss in share by identifying competitive and supply chain issues
Our client had lost 60% of their share in a retailer and struggled to understand why they had lost share because pulling syndicated data and putting it side-by-side with panel and distributor data was extremely manual and challenging
We built a retail diagnostic for the client that combined syndicated and distributor data to identify that the share loss was driven by a competitor's aggressive pricing and supply chain issues. Our AI recommended remedies to these issues and forecasted the impact on sales, which was used to keep the brand in the retailer