7 Best Retail Analytics Software of 2026

Why use Mitti (by SafetyCulture)?

Mitti (by SafetyCulture)’s retail analytics software is highly rated in merchandising because of its advanced features that enable businesses to manage retail operations well. Aside from digitizing data for real-time analysis and automating processes for increased revenue and profitability, this mobile-first platform also designed one of the most intuitive platforms – easily understood and employed by anyone in the company.

Features:

• Utilize numerous retail checklists in the Library for product inventory, security checks, and electronic device (cash registers, phones, printers, etc.) inspections to ensure that everything is prepared, organized, and in working order before opening and once shop doors are closed.

• Monitor operations such as inventory checks, online and in-store orders, supply chain logistics, invoicing, and payments to help analyze salient data in real time and immediately deal with issues that may emerge.

• Track store and employee performance to identify top performers and pinpoint areas of improvement.

• Integrate with other retail software solutions like CRM, POS, and ERP.

• Access data anywhere at any time using the mobile app.

Why use Tableau?

Considered one of the world’s leading analytics platforms, Tableau helps people in the retail industry visualize and understand data and then use it to solve their most pressing problems. With powerful machine learning and numerous software integrations, it has everything merchandisers need to improve their market numbers.

Features:

• Data management

• Data visualization

• AI Analytics

Why use Qlik Sense?

Qlik Sense is an outstanding retail store analytics software because it merges data from various channels helping businesses get a comprehensive view of customers’ preferences and shopping habits. The platform boosts marketing, drives engagement, and converts it to sales.

Features:

• Visualization and dashboards

• Data transformation and automation

• Augmented and embedded analytics

Why use Power BI?

Microsoft’s Power BI is one of the best retail analytics software because it leverages data and provides actionable insights. With this platform, managers confidently make data-driven decisions to succeed in the retail industry.

Features:

• Data visualization with real-time insights

• Reports sharing with teams

• Integration with other Microsoft apps

Why use DataWeave?

Considered one of the most effective IT solutions made specifically for the retail industry, DataWeave helps businesses boost their productivity and competitiveness by using their comprehensive suite of data analytics.

Features:

• Assortment analytics

• Promotional insights

• Pricing intelligence

Why use Looker?

Looker, now included in the Google Cloud Platform, helps retail businesses achieve their goals by providing in-depth analysis of their data, improving workflows based on the evaluations made, and enhancing their current set of tools with various integrations,

Features:

• Modern BI and analytics

• Data-driven workflows

• Integrated insights

Why use Sisense?

An effective platform for retail analytics with three powerful IT solutions, Sisense allows companies to visualize data and get the actionable insights needed to transform current workflows to successfully compete in the market.

Features:

• Data modeling and visualization

• AI-driven analytics and actionable intelligence

• Seamless integration and connectivity