Run systematic remodeling experiments to optimize retail store sales

The Big Picture

A store remodeling exercise is a significant investment, sometimes ranging into millions of dollars. Additionally, at times, store operations need to be put on hold for a few days, which further impacts store sales and revenue. A top 10 specialty retailer wanted to remodel 27 stores, by taking a measured approach to remodeling based on incremental benefits. However, measuring the impact of remodeling was subject to misinterpretation due to factors such as seasonality and difficulty in identifying a control group.

Transformative Solution

The retailer used Fractal’s Trial Run product to run systematic experimentation on individual store enhancements. Each of the 27 stores had different test levers. Trial Run proprietary algorithms were applied to simulate a control group for each of the tests, after first assembling granular data for all the stores in the US. Statistical techniques were applied to quantify a significant lift in sales, with an interactive visual capability to diagnose for drivers of incremental sales.

The Change

As a result of the engagement, 22 of the company’s stores generated a positive lift, with a few experiencing a lift of more than 15% in sales. In addition, break-even for large stores (i.e., those with sales greater than $10 million) was expected within 2.5 years, whereas break-even for small stores (i.e., those with sales less than $5 million) was expected in 5-7 years. Based on the results, the retailer decided to prioritize remodeling for large stores.

Use automation to scale up services and manage growing demand

The Big Picture

A consulting company, providing services to card issuers, acquirers, and retailers across the globe, wanted to systematically scale up its services to manage fast growing demand. Its approach of delivering bespoke consulting engagements on an individual customer basis involved heavy manual data processing, limiting its reach to service and engage all players in the market.

Transformative Solution

To solve this problem, it was necessary to build a scalable solution out of its standard services by bringing data, consulting, domain expertise, and visualization all together. This would allow for the creation of a visually-engaging delivery platform for consultants across the globe with predetermined recommendations ready to offer their clients.

A solution suite of scaled data products was developed to service end-clients based on the consulting company’s in-house data and technologies. It was designed with scale and a wide range of global clients in mind, and leveraged process automation to reduce the dependencies on manual effort for refreshes.

Each solution in the suite was developed in a phased manner, refining the product features and outputs at each stage. Phases included design and development, go-to-market, enhancement with additional features, and operationalization. The solution enabled the client to scale up and engage with multiple markets and end-clients in a short time-frame, through data products based on an in-house data repository.

The Change

As a result, the company saw multiple benefits:

  • Greater data-driven, standardized insights and recommendations to end-clients across different engagements.
  • Powerful visualizations, helping clients understand and dig deeper into their own data to uncover new trends and insights.
  • Faster go-to-market times (60%-80% time savings across different solutions).
  • 100% adoption by the consultants to deliver all solutions to more clients, therefore increasing their coverage within the market.
  • Scalable approach to quickly expand the company’s product portfolio.
  • Design thinking and visual storytelling were leveraged to create engagement for consultants during delivery.
  • Automation of manual tasks wherever possible.