Business Intelligence
Gone Spatial
for Market Research| Demand Forecasting | Real Estate | Compliance | Geomarketing | Franchising | Sales Teams | Merchandise Planning | Service Areas | Ecommerce Targeting | Operation Analytics | Delivery Zones

Area Analytics powered by AI

Solving problems like

Where and what shape would make my territory most profitable?
What are the hidden variables behind the success of my location?
Am I cannibalizing sales from an adjacent territory? By how much and what do I do about it?
How do external factors like weather or events in the area impact my sales?
Did I just build too big or too small of a territory for a new franchisee that I’ll be locked into for 10 years?
We just found out that having a school within half a mile from a store will bring the sales up - how do we make sure that locations take that into account?
How do I maximize my ad campaign ROI and target only zip codes with the highest target audience concentration?
How much money am I going to make at this location taking into account all the characteristics and historical data across the brand?
I am going to a new market - how many territories/units can it support and can I get a quick preview of what it would look like?
How does drive time compare to my actual trade area - does it make a difference?
What’s the market potential for my product in this area?
Does my trade zone match the delivery zone, and if not, why?
Am I wasting our advertising dollars targeting campaigns in the wrong locations?

Solutions

Geo challenges create the single-biggest inefficiency for your retail, sales or service organization. Overcome them with GeoSpatial Location Intelligence.



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Kateryna
We are geospatial technology specialists and retail veterans. We've worked with some of the largest brands in the world and see firsthand the opportunity to use AI and spatial analytics to help you make smarter business decisions.

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Understanding the real world influence on the virtual one might be the missing link you've been looking for

If two people with the exact same demographic (age, sex, income, education, etc.) are located in two different physical places, their online search queries, shopping preferences, and buying habits will be different. This might turn some of them into undesirable customers for certain businesses, if businesses had this information...

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