Retail

AI, Machine Learning (ML) and Econometrics are changing the retail industry in many ways:

• Improve transactional volume and customer profitability
• Minimize supply chain cost
• optimize store operation
• Increase demand forecast accuracy
• By focusing on capturing consumer data, retailers are able to provide personalized recommendations and improve the shopping experience for their target customers

DeepBaobab.ai helps retail organizations use all relevant data to develop AI, machine learning and econometrics models that will generate predictive insights. These insights improve customer profitability, minimize supply chain cost, and optimize store operations.

Smart Retail

The internet of Things(IoT), Artificial Intelligence and Machine Leaning are heavily used in retail.

• In a smart retail environment, a camera system equipped with computer vision capabilities can use facial recognition to identify customers when they walk through the door.
• The system gathers intel about customers, including their gender, product preferences, traffic flow and more, analyzes the data to accurately predict consumer behavior and then uses that information to make decisions about store operations from marketing to product placement and other decisions.
• For example, if the system detects that the majority of customers walking into the store are Millennials, it can push out product advertisements or in-store specials that appeal to that demographic, therefore driving up sales. Smart cameras could identify shoppers and allow them to skip the checkout.