Neural Network Feature Detection for Retail Sales Analytics

Neural Network Feature Detection for Retail Sales Analytics

Problem Statement:

Rapid retail company growth has resulted in a need for Retail Forecasting Analytics conducted in near real time by automating and contrasting car density counting.

Unique Solutions:

Utilizing Artificial Intelligence with high resolution, high cadence satellite imagery, to extract and count features by geofenced retail locations presents a novel approach that will provide futures/ commodities brokers with a competitive advantage.

Customer Benefit:

Market assessment, market share assessment, and investigation of the global economic impact on the industry, which presents the full picture of a business in all regions.

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