Improved forecast accuracy by 5-12% and reduced transportation costs by 14-17% for annual savings.
Improved top line growth and gross margin with a single, accurate enterprise demand signal.
Increased sales by $5m to $7m a month with improved messaging, targeting and personalization.
Increased customer loyalty and generated a 2-5% uplift in sales with personalized offer optimization.
Projected savings of $7-12m and pushed excess inventory to high sales regions at the right time to maximize profits.
Increased sell-through by 10% while boosting gross margins by 6% with markdown optimization.
Improved marketing ROI by 5-20% across portfolio by identifying and engaging high-value customers.
Offer redemption rates improved as much as 400%, generating $20 million in incremental revenue.
Improved promotional planning decisions with a more accurate predictive lens for decision making.
Increased campaign ROI and revenue lift per store by focusing promotions for success.
Generated uptick in sales and increased loyalty program value with personalization.
Optimized the retailer’s weekly ad circular by identifying an average margin increase of 8%.
Technology landscape supports increasing volume and velocity of data in a future-proof tech stack.
Quantified the company’s cost to serve and evaluated alternative supply chain decisions.
Improved sales and a margin while growing market share in a competitive category.
Deployed data-driven marketing initiatives to optimize conversion rates and marketing spend.