Retail

AI analysis decisions enables Retail companies to have a greater understanding of customer shopping habits and to create recommendations based on the customer’s purchase history, resulting in personalized shopping experiences. analysis is now applied at every step of the retail process, right from predicting the product that is more likely to be interesting to the customers and predicting what to sell them next.

Today, retailers are seeking to find new methods of providing insight into the ever-increasing number of structured and unstructured consumer-related information available.

bubble Retail

Use Cases

Pricing

Price Optimization

Getting the most values of the upcoming trends and knowing when, how much to cut off-trend product prices.

Problem:

  • Lack of understanding of consumers
  • The retail companies must have the ability to face competitors

How our Platform Helps:

  • Pricing is largely based on a customer’s geographical location and purchasing habits.
  • Our AI platform allows companies to work on beta tests for each segment of their customers to see which one fits best.
  • Also, understanding what the consumer wants will inform the retailers of ways in which they can stand up to their competition.
Personilization

Personalized Experience

Retailers need to enhance customer engagement and loyalty.

Problem:

  • Lack of clear ideas about customers
  • Marketing Strategies to gain customer engagement and loyalty.

How our Platform Helps:

  • Our platform will allow retailers to have a clear idea of what’s a customer’s likes and dislikes, their gender, their social media presence, their location, etc.
  • By using our AI and connecting data points will lead to advanced marketing strategies that can enhance customer engagement and loyalty.
Forecasting

Demand Forecasting

Retailers need to predict the next big trend in the retail industry.

Problem:

  • Understand market requirements
  • Inability to have consistent keyword tracking

How our Platform Helps:

  • Our platform helps to predict the next big trend in the retail industry, some algorithms analyze social media and web browsing trends.
  • Retailers can understand market demand using demographic data and economic indicators that the platform provide
  • Also, provide a consistent tracking of relevant search words, that allows businesses to forecast trends before they happen.
How Our Platform Works

How our Platform Helps

  • Supports wide variety of decision components that aims to solve broad range of decision problems ranging from personalization to process optimization.
  • Apply advanced analytics and machine learning techniques to extract useful information to inform your business processes.
  • Extract insights and trends in many fields and use reinforcement learning to provide decisions that adapts to current situations.
  • Help shape policies and decisions that aligns with regulations and evolving programs.
  • Improve the results and optimize operational efficiency and reduce cost and risks with smarter decisions.
  • Provide more precision and calculated options that help decision makers take the right decision on the right time.