Built to Suit the Retail Real Estate Industry You are signed in as  guest  
Sign in now  
Logout  
topnav
Home News Archive Editorial Features Retail Real Estate Marketplace Contact Us Subscription Info
Plain Talk    

Plain Talk Print Page




Applications of Predictive Analytics Tools for Franchises
From The Buxton Co

Predictive analytics tools are making a difference in many sectors, and franchising is no exception. With all of the hype, it can be tough to differentiate between whatís real and whatís not.

In this blog post, weíll explain what predictive analytics involves and explore a few common applications for franchises.

Defining Terms: Predictive Analytics Tools

Predictive analytics is the process of using data from past occurrences to predict a future outcome. The prediction is presented in the form of a specific performance metric Ė such as the expected temperature next Tuesday or the projected dollar value of annual sales at a new store location. Forecasts are derived from a predictive model that is designed to answer the specific question of interest.

Predictive analytics tools come in a variety of forms depending on their intended application. Brands that are looking for a DIY solution may consider investing in software that allows them to develop their own predictive models. This approach gives total control, but requires a big investment in datasets, technology, and expertise to develop the tool. Most brands prefer a hybrid solution that involves working with a consulting firm to develop the model, then deploying it to a user interface for on‑demand access.

Common Applications of Predictive Analytics Tools for Franchises

While predictive analytics tools can be applied to many aspects of franchising, here are a few of the most common applications.

Application #1: Determining the Optimal Configuration of Franchise Territories

Determining how to configure franchise territories is an important question for any franchised business. If you draw the boundaries too big, then you are leaving franchise sales opportunities on the table. If you draw the boundaries too small, then your franchisees may fail and ultimately hurt your brand. Defining territories correctly is particularly critical for service‑based businesses that travel to the customerís location, since service areas need to be a realistic size to meet customer service expectations.

Predictive analytics can be used to determine how many franchise territories the market can support, where territories should be placed, and what the boundaries of each territory should be. To do this, a model is developed based on factors that are observed to correlate with the current territory performance. Then an algorithm is programmed to use brand‑specific territory rules (e.g. territories canít cross state lines, territories canít overlap, a franchisee must be able to arrive at any destination in the territory within 1 hour) in combination with the model to test and determine the best territory layout for the brand.

Application #2: Determining the Optimal Placement of Brick‑and‑Mortar Stores Within a Territory

Once youíve defined where your franchise territories should be, you can use predictive analytics tools to optimize the placement of brick‑and‑mortar stores within each territory.

Predictive analytics can help you understand:

  • How many units you can have in that territory
  • Where each unit should be placed
  • The sales forecast (or other performance metric) for each unit

Application #3: Improving Performance of Current Stores or Territories

Perhaps you opened some stores or territories without using much analysis, or maybe your markets and customers have shifted over time. Predictive analytics can be used to identify where your operations are solid and where you have opportunities to improve.

To do this, use a predictive analytics model for your brand to score each store or territory, then compare the forecasted performance to actual performance. Discrepancies between the two metrics reveal areas where you need to dig deeper to diagnose whatís going on and can help to prioritize additional investments, closures, or relocations.

The Bottom Line

Predictive analytics tools are good investments for franchises that want to grow and optimize their businesses intelligently. To determine which type of tool is right for you, consider the types of questions you want to answer and the level of internal resources you can invest in developing and supporting the solution.

If you are ready to get started, Buxton offers a wide range of predictive analytics tools for franchises. Explore our franchise solution overviews for more information.




Buxton is the leading customer analytics firm that helps organizations identify who their customers are, where those customers are located, and the value those customers have to the organization.

2651 South Polaris Drive
Fort Worth, TX 76137
1-888-2BUXTON

buxtonco.com


Feature Articles

If you have an opinion on the retailing or retail real estate industries, take this opportunity to share your thoughts. Articles should run between 400 and 800 words. Topics can, be general in nature, consumer observation or specific to retail concepts or practices.

Articles will be posted for at least one week and will then be placed in the Editorial Archives. All articles submitted will be read and considered but we cannot guarantee publication. Each published article will carry the submitters byline (if desired) and is a free service to our community.

Article ideas and suggestions are also always welcomed. Contact PVS@PlainVanillaShell.com

   

  



Privacy Policy | Terms & Conditions | Contact | About Us