Retail Analytics Solutions

Data Analytics in Retail or commonly known as Retail Analytics leverages big data across multiple data sources like PoS Systems, Sales Data, Geographic Data, Inventory Data, etc. to identify patterns, trends, associations, benchmarks, and more to help with:

• Price Optimization
• Inventory Management
• Supply chain movements
• Customer acquisition and loyalty, etc.

With experts having technical, technological, and Retail industry expertise, Polestar Solutions emerges as one of the best partners for your Data Analytics needs and implementation. With our detailed Data Discovery Workshop, we believe in a customer-centric approach to identifying the solutions and choosing the further roadmap based on futuristic needs.

Data Analytics in Retail consists of some complex Machine Learning and AI. Some of the use cases are:

• Customer Segmentation
• Sentiment Analysis
• Assortment Optimization
• SKU allocation and rationalization
• Dynamic Pricing
• Risk Management
• Demand Forecasting

Retailers can use big data analytics to make use of reporting and analytics to gain insights into inventory management and operational efficiency easily. With proper analysis, you can gain insights into Demand Prediction, Replenishment Optimization, Stockout prevention, faster recalls, Fulfillment optimization, and increase customer satisfaction.

With Big Data analytics supply chain can be optimized for sourcing, production, warehousing, transportation, and distribution. With Retail analytics, you can optimize your inventory planning, forecast accurately, scenario planning, quality control, fraud detection, and cost modeling.