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5 Ways to Use Geospatial Data to Optimize Store Layouts

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5 Ways to Use Geospatial Data to Optimize Store Layouts

July 12, 2020

You walk into your favorite clothing store, and bam! – everything’s moved around again. It’s like they rearrange the place every other week. Don’t they know how annoying that is? Next time it happens, just know there’s a method to this change. Retailers use geospatial data to design their floor plans. It helps them figure out where to put everything in the store to get you to buy more stuff. Pretty sneaky, right?

But don’t look at it negatively because the owners of your favorite store have to sell products to remain in business. If you own or manage a retail store, here’s how geospatial data can help you optimize your store layout.

Understanding Geospatial Data and How It Applies to Store Layouts

To optimize your store’s layout with geospatial data, you first need to understand what it is. Geospatial data is information about the location and attributes of objects on Earth. If you own or manage a retail store and need to use geospatial data, you first need to gain knowledge about this subject.

Content posted on reputable websites, a subject expert offering a college essay writing service, videos, and social media are some of the options you can use to gain knowledge quickly. When applied to retail, geospatial data can provide insights into customer traffic patterns, product placement, and more. It helps you:

Gather Customer Location Data

By tracking the locations of your customers’ mobile devices in-store, geospatial data can show you which areas of the store get the most traffic. You can then place popular products in high-traffic areas to increase sales.

Analyze How Customers Move Through the Store

Geospatial data provides a heat map of the paths customers take through your store. See which aisles and displays they frequent and which they skip. You may find opportunities to reorganize product placement or make structural changes to improve the customer experience.

Identify Prime Shelf Space

Every inch of shelf space in a store is valuable real estate. Geospatial data can pinpoint which specific shelves, displays, and racks get the most attention. Focus your merchandising efforts on those prime locations to maximize sales and profits.

By leveraging the power of geospatial data, retailers can make evidence-based decisions about store layout and product placement. The result is an optimized shopping experience that keeps customers coming back. Analyzing how people interact with your physical space provides insights traditional sales data alone can’t offer. As a result, geospatial intelligence is a tool no retailer should be without.

Track Traffic Flow

Geospatial data provides insights into your customers and their behaviors within your store. By analyzing how people move through the space, you can make changes to create the optimal layout.

Using the data gathered, you will be able to see how customers navigate your store by analyzing their movement patterns. Then, look for areas with high and low traffic to determine the ideal placement of products and promotional displays. You may find that people tend to turn right upon entering, so put high-interest items there.

Determine Dwell Time

Pinpoint areas where customers linger to find your “hot spots.” Place impulse purchase items there, and consider making aisles wider and more open. In low-dwell areas, you can pack in more inventory or use the space for backroom storage.

Evaluate Display Effectiveness

Track how many people interact with a product display to measure its success. If few people stop to look, try a new location, or switch out the products featured. Displays with high engagement are keepers – you know you’ve grabbed customer interest there!

Identify Problem Zones

Look for “dead zones” with minimal foot traffic to uncover issues like bottlenecks, cluttered aisles, or lack of signage that deter customers. Make necessary changes to open up the space and draw people in. Clearing the path can significantly impact sales.

Tailor Your Store to Customer Preferences

Note differences in navigation patterns and dwell times for return customers versus first-time shoppers. Repeat customers will move more purposefully to the products they want, while new customers meander and explore. Cater your layout to quickly engage new shoppers and make returning convenient for loyal customers.

How Geospatial Data Helps You Optimize a Store Layout

Geospatial data gives you a “bird’s eye view” of your store space and customer traffic patterns. By mapping out where customers linger, the paths they take through the store, and which areas get little foot traffic, you can make data-driven decisions about product placement, endcaps, and signage to improve the customer experience.

While geospatial data collection does require some investment in hardware like security cameras or Wi-Fi routers, it doesn’t require you to be an expert on data analysis. Much of the analysis can be done with free or low-cost tools. So, instead of worrying about how to collect and analyze geospatial data, hire a reputable company to do the job on your behalf. That way, you can relax and use the free time to engage in a hobby, be it gardening, painting, or reading an essayusa review.

Analyze the Data Often

You don’t need a huge volume of data to start optimizing your store layout. Even collecting geospatial data for just a few days can reveal patterns that lead to impactful changes. The key is focusing your data collection on high-traffic periods like weekends or seasonal events. Start with a targeted pilot in just one zone or department of your store. Once you see the benefits, you can expand data collection storewide.

For the best results, take an iterative approach to optimizing your store layout with geospatial data. Start by optimizing one area or product category at a time and review the data for that section weekly or monthly to see how customers are responding. Over time, you’ll get better at spotting opportunities and making more effective changes. Continuous small optimizations, informed by current data, will keep your store layout as agile as possible.

Final Thoughts

With geospatial data at your fingertips, you have insights to transform your store into a space that truly puts the customer first. Analyze, evaluate, and tweak your layout to lead people effortlessly to more of what they want. An optimized store means an optimized customer experience – and that’s the real key to sales success.

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