System and Method Using Deep Learning Machine Vision to Analyze Localities to Conduct Comparative Spending Analyses

A system comprising:

• a processor;
• a data bus coupled to the processor;
• and
• a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
• assigning locality profile scores to a plurality of localities based on entity classes included in the localities, wherein the locality profile scores are derived through neural network analyses of map images for the localities;
• grouping localities having similar locality profile scores into separate locality groups;
• extracting entities in a locality group;
• retrieving historical data for entities in the locality group;
• grouping spending of the entities in the locality group by product areas;
• ranking spending of the entities in the locality group;
• and
• providing the spending per product area of the entities and ranks of the spending of the entities in the locality group for a comparative spending analysis.

A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

• assigning locality profile scores to a plurality of localities based on entity classes included in the localities, wherein the locality profile scores are derived through neural network analyses of map images for the localities;
• grouping localities having similar locality profile scores into separate locality groups;
• extracting entities in a locality group;
• retrieving historical data for entities in the locality group;
• grouping spending of the entities in the locality group by product areas;
• ranking spending of the entities in the locality group;
• and
• providing the spending per product area of the entities and ranks of the spending of the entities in the locality group for a comparative spending analysis.