CASE STUDY Canadian division of a large multinational insurer
Daisy Claims Automation and Fraud Detection helped a large Canadian insurer automate claims processing. The client wanted to cut costs and stop fraud. Daisy's AI platform increased straight-through p...rocessing by 554%. Fraud investigations rose by 130%. The client saved over $1.4 million in labor and avoided more than $4 million in fraud. Each claim saved over $50. The system matched 90.4% of historical claims with only a 7% false-positive rate.
CASE STUDY Canadian division of a large multinational insurer
Daisy Claims Automation and Fraud Detection helped a large Canadian insurer automate claims processing and detect fraud. The client wanted to cut costs and increase straight-through processing. Daisy...'s AI platform integrated with the client's RPA system. The client achieved a 554% increase in straight-through processing, a 130% rise in claims investigated, and saved over $1.4 million in labor costs. Fraud avoidance exceeded $4 million, and each claim saved over $50.
CASE STUDY Large North American insurer (Canadian headquarters)
Daisy Fraud Detection helped a large North American insurer find new fraud cases in group health benefits claims. The client wanted to improve fraud detection with AI. Daisy's system found 183 new fr...aud cases and enabled over $100,000 in immediate recovery. The solution led to more than $1 million in future fraud avoidance and $10 million in annual fraud avoidance for one business line. The client achieved a 10X ROI with Daisy's AI platform.
Daisy Fraud Detection helped a large North American insurer find and avoid fraud in group health benefits claims. The client wanted to improve fraud detection with AI, as current recoveries were belo...w industry expectations. Daisy's AI system was used for dental and drug claims, integrating with the client's existing fraud flags and data. The system found $10M to $50M in possible annual fraud recoveries and delivered over $10M in fraud, waste, and abuse avoidance. The client achieved a 10X ROI and needed only about 1000 days of investigative effort to reach these results.
CASE STUDY Large North American insurer (Canadian headquarters)
Daisy Fraud Detection helped a large North American insurer find new fraud cases in group health benefits claims. The client wanted to improve fraud detection with AI. Daisy's system found 183 new fr...aud cases, leading to over $100,000 in immediate recovery. The solution enabled more than $1 million in future fraud avoidance and $10 million in annual fraud avoidance for one business line. The client achieved a 10X ROI from the project.
Daisy’s Promotional Item Selection and Price Mix Optimization helped a midsized US grocery retailer improve pricing and promotions. The retailer used Daisy’s AI to analyze years of transaction data a...nd simulate new strategies. This led to better promo product and price mix decisions. Merchants spent more time on innovation and brand experience. The retailer achieved a 2.9% increase in topline sales. Daisy’s platform made promotional planning faster and more effective.
Daisy’s Promotional Item Selection and Price Mix Optimization helped a midsized US retailer improve pricing and promotions across 90 stores. The retailer faced challenges using traditional, instinct-...based methods for promotions. Daisy’s AI platform analyzed years of transaction data to find the best product and price mix. The solution enabled fast, data-driven decisions for merchandising and marketing. The retailer achieved a 2.9% increase in topline sales after using Daisy’s platform.
CASE STUDY A Fortune 400 company and one of the largest food distributors in the United States
Daisy’s Promotional Item Selection helped a major US food distributor boost basket sales from their weekly flyer. The company needed a better product mix to drive larger baskets. Daisy’s solution use...d a color scoring system to guide Category Managers to top-performing items. The retailer saw a 7X increase in promo sales lift compared to the bottom 25 items. Category Managers found it easier to pick the best products for promotions.
CASE STUDY A Fortune 400 company and one of the largest food distributors in the United States
Daisy’s Promotional Item Selection helped a major US food distributor boost basket sales from their weekly flyer. The retailer wanted to pick the best mix of products for promotions but faced challen...ges with department coordination. Daisy’s solution used a color scoring system to guide Category Managers to top-performing items. By following these recommendations, the company saw a 7X increase in promo sales lift compared to the bottom 25 items. Merchants now spend more time on innovation and brand experience, with bigger baskets and more trips, all without extra margin costs.
Daisy’s Demand Forecasting solution helped a major North American retail chain improve their forecasting accuracy. The merchant team struggled with poor forecasting and its negative effects. Daisy us...ed the retailer’s TLOG data to train its AI and forecast promotion impacts across sales, transactions, and seasonality. After three months, Daisy’s forecasts replaced the old system and became central to weekly marketing meetings. The retailer saw over $6M in sales lift and a 23% drop in forecast error, with an additional 5% decrease after launch.
Daisy Intelligence Demand Forecasting helped a major North American retail chain improve forecasting accuracy. The merchant team struggled with poor forecasting and its negative effects. Daisy used h...istorical TLOG data to train its AI and forecast promotion impacts. The retailer replaced its old forecasting with Daisy’s solution. After 3 months, sales lift increased by over $6M and forecast error dropped by 23%, with an additional 5% decrease after launch.
