Overview of Retail data solutions in Microsoft Fabric (preview)

Data plays a crucial role in contributing towards improving operational efficiency, data driven decision making and improving customer satisfaction. Retailers can analyze their data to improve Inventory optimization, customer segmentation, sales forecasting, dynamic pricing, customer retention, fraud detection etc. Retailers are struggling with the below issues: -

• Manage huge volume of data and be able to analyze this data and take business decisions.

• Deal with siloed applications from different providers hampering cross application analysis and workflows.

• Get real time velocity to be able to respond to customer needs or events timely.

• Drive decisions without data lead to lower customer satisfaction, poor business management and higher costs.

Retail data solutions are an industry specific workload on Microsoft Fabric that helps you unify, enrich, and model your industry data and generate insights faster. With Retail data solutions, you can apply the power and flexibility of Fabric to address your retail challenges and opportunities. Retailers can also take advantage of the available list of connectors, application templates, and business intelligence capabilities, which can be configured easily.

This capability enables retailers to:

• Improve their bottom line by driving operational efficiencies.

• Standardize and harmonize their data estate and store their data in industry data model template provided.

• Bring data from varied set of applications through various connectors that are provided out of the box.

• Generate valuable insights to actions by using the data available in the standardized data model.

The following are some of the key capabilities available on top of Retail data solutions.

• Retail industry data model (preview), which helps retailers to standardize, unify and harmonize their data and store in a standard format.

• Sitecore OrderCloud connector (preview), which allows retailers to bring Sitecore OrderCloud data and be able to generate valuable insights on customer behavior and buying patterns.

• Frequently bought together model (preview), which provides recommendations on most widely purchased products based upon historical information and enables retailers to better optimize the shelf location and upsell products.

• Personalized Shopping Agent (preview), which provides conversational commerce experience for retailers to improve their customer experience.

Retail data solutions empower retailers to harness the power of data to strategic decision making, improve operational efficiency, deliver exceptional customer value in a dynamic and competitive environment.