The X Future
Cupertino, CA, USA
Use Case Collaborators
Devanshu Bansal
Cofounder
Champion
db@thexfuture.com
Real time collection and analysis of sales data to determine sensitivity to various factors & forecast demand
Published
Last Updated: Wed Jun 08 2022
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Problem Statement
Identifying innovative and new methods to collect data from organized and unorganized, in-store and e-commerce sales channels, to help the brand predict product demand, consumer behavior and shopping patterns, performance of sales promotions and marketing campaigns. The company is looking to use deep learning and artificial intelligence to perform price elasticity and sensitivity analysis for the impact on sales due to change in various factors like Covid, seasonality, distribution, supply chain, strikes, stockout etc. And diagnose the factors which are leading to changes in conversion, profit, and margin.
Description
NLP, AI and other solutions that can offer one or more of the following:
- Enable real time collection of In-store and onlines sales data in different formats and geographies.
- Provide access to sales information from POS systems.
- Provide understanding of how people engage with specific products in stores & decode other consumer behavior analytics including demographic, gender and sentiments.
- Analyze how internal and external factors impact consumer shopping patterns.