Case Study: Promotional Score Carding

GROCERY

Major North American retail chain increases its promotional effectiveness and YOY sales.

blue grocery carts against yellow wall
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A major retail chain, ranked one of the top 10 largest in North America and one of the largest employers, leverages Daisy’s Score Carding solution to understand the performance of products to be promoted in the future.

three cubes

The Challenge

 

The merchant team was given a mandate by senior management to reduce the number of items within its promotions as well as the frequency of flyer/circulars to align with the overall corporate strategy of everyday low prices and reduced promotional activity.

Although the management team understood that reducing promotions would negatively impact sales, it also recognized that this reduction could be largely mitigated through a smarter and more scientific promotional item selection approach.

The challenge is to determine how to consistently improve promotional item selection, reduce the number and size of flyers/circulars while integrating the new approach into the merchant team’s existing processes successfully.

Client
Major Retail Chain

Products
Promotional Score Carding

Industry
Grocery

Location
North America

target

Solution

The retailer decided the best solution was to make use of the Daisy Score Carding Module in addition to the Forecasting Module they were already using. The Daisy Score Carding solution is specifically designed as a simple approach to help merchants pick the right combination of items based on science and math to increase customer trips, baskets and to protect margins. Essentially, this module identifies the items with the most power to drive customer trips to the store and create the most associated sales for bigger baskets. Notably, it is designed for quick and easy integration into current processes while continuing the journey to the autonomous retail enterprise.

As the merchant team selects products and prices for weekly promotions, the Daisy Score Carding solution provided them with a full understanding and impact of all items that increased sales at a very low contribution or, more importantly, resulted in a negative contribution. Part of the Daisy approach is a measurement of item impact called Net Promotional Effectiveness (NPE). NPE involves measuring every item promotion and calculating incremental promotional sales lift, incremental associated sales lift, cannibalization, seasonality impact, price elasticities and forward buying, and doing this at lightning speed using AI.

With these measurements, Daisy simply divides promotions into three categories – representing low, medium, and high-net impact. This simple automated system of red, yellow and green allowed the merchant team to quickly identify which products to promote, and which not to promote (a large part of the initial performance gains was to simply identify poor performers and eliminate them).

Through the retailers existing weekly promotional process any red or yellow flagged items were reviewed and unless compelling strategic reasons were provided to keep the item, it was replaced by a better performing Daisy recommendation.

Based on the proven success of this approach, the merchant team then integrated the insight for more long-term planning and vendor negotiations. Long term planning became strategies based on their full understanding of items and their contribution to the bottom line.

The Daisy Score Carding solution served as a step towards the retailer’s identified long-term goal of becoming a more “Autonomous Retail Enterprise”. The success and bottom-line business result of this solution created momentum and belief from the total organization. The retailer is now moving quickly to the next stage of leveraging the power of AI.

INCREASE YOY SALES

>30%

growth of YOY sales per
promotion.

INCREASE PROMOTIONAL
EFFECTIVENESS

22%

increase in Net Promotional
Effectiveness (NPE).

INCREASE SAME STORE SALES

>2%

growth of same store total sales.

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Results

 

While other indicators such as flyer/circular reach and interest are also measured, the return on investment and sales are the key metrics that the Merchant team and Senior Management had their eyes on.

By working with Daisy to optimize their promotions, the retailer grew year-over-year sales per promotion by more than 30%, promotional effectiveness by 22%, and same-store total sales by more than 2.0% – all the while using less promotional inventory.

grocery store flyer

Make smarter decisions and predictably grow your sales and margin

Foundational Assessment

A detailed understanding of your historical performance sets the foundation for your AI journey.

Workflow

Ensure operational efficiency, reduce mistakes and lower labour costs with AI process integration.

Product Mix

AI provides the right items at the right time in the right channel.

Price Mix

Optimize prices for every promotion, regular and markdown priced items through AI.

Forecasting

AI-driven item and price mix optimizations increase the accuracy of forecasts.

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