Your Midwestern farm supply retail store, Orville's (Red) has three regional competitors:
Langley's (Yellow) is huge and they have a good name. However, you sense they are slow to address market changes and opportunities.
Blériot's (Purple) is a smaller chain. But they are scrappy and located close to your traditional service area.
Whitehead's (Blue) is a failing chain and may offer opportunities for expansion as they head towards an inevitable bankruptcy.
Try to answer these questions
Can you find a pattern in Langley's store placement which ought to concern Orville's?
Can you find areas with high farm income which seem to be under-served by the retail farm store chains?
Why does the State of Illinois appear so under-served by all of the retail farm store chains?
Why is the farm income so low in Southeast Missouri?
Would farm income per square mile be a better way to display the farm income data?
How would annual store sales be best displayed on this map?
If annual store sales could be shown as a heat map, can that same heat map be animated to show those same sales over time?
Can you determine if one store is augmenting or detracting from a nearby store's sales?
If you could add a data set, what would it be?
How much do you think it would cost to generate these maps in-house, provided you had staff experienced in Geospatial Business Intelligence?
How can you ensure your Business's data is protected?
Orville's is concerned that its largest competitor Langley's is planning to establish new stores in areas which have been identified as high-value future expansion sites by the Orville's Market Development Team.
Your traditional service area territories already overlap and you don't want to out-run your existing logistics train.
You want to develop all the promising areas within your service area before pushing into your competition's service area.
You need a low-cost, high R.O.I. product to help you manage your growth and monitor your competition's growth.
How can Orville's use Geospatial Business Intelligence to increase performance and identify threats?
Can Orville's use GeoVelo cost-effectively to track the spatial patterns of Langley's retail store openings and closings over time?
Can the Orville's team determine if the Langley's trend is to encroach on territories?
Is that trend a threat to Orville's continued expansion?
Example Business Questions Solved with Geospatial BI
Who and who are our customers?
For the purposes of expansion where can I find areas that have characteristics like those customers where our most successful stores are located?
What can comparing customer purchase data to US Census data tell me about my customers?
Are there any patterns to when and where my customers seem willing to travel to reach my stored?
Can we discern and predict where seasonal items sell well?
Can we use US Census data to gauge the health of the local economy in such a granular fashion that it can help us spot underperforming stores?
Can we use GIS to identify store managers who are performing better than expected?
Logistics & Routing
Can we increase safety, save time, expenses and wear and tear on our delivery vehicles by using GIS to plan delivery routes?
Which delivery drivers are doing the best job?
Are there predictable delivery route issues we can use GIS to avoid?
Should we consider barge or rail shipping.
Knowing The Competition
Can we track our competition's moves geographically and temporally in the market place?
Can we predict where our competitors are most likely to open retail stores, then beat them to that site?
Can we discover oversaturated market areas?
The locations of real farm stores were used to create this example map.
The data for this map was collected from publicly available online sources (the internet) during March 2017.
This map is not endorsed by any of the businesses shown on the map.
GeoVelo has no business relationship with any of the businesses described here - however , we are always open to offers.
While GeoVelo has attempted to provide accurate information on our mapping, which we hope you find useful, we cannot guarantee that the information presented here will always be accurate and up to date.
GeoVelo cannot be held responsible for the misuse or misinterpretation of any information and offers no warranty guarantees or representations of any kind in connection to its accuracy or completeness.
GeoVelo accepts no liability for any loss, damage or inconvenience caused as a result of reliance on this map product.