Your self-service
path to retail
growth

Retail analytics unlock visibility and provide valuable insights into every facet of the customer journey, supply chain, and operational workflows that drive a retail business.

Corporate merchandising, finance, and operations teams use retail analytics for more accurate sales forecasting, resource and inventory allocation, optimization of brand and marketing strategies, and successful expansion into new markets or product categories.

At the regional or line-of-business level, retail teams use analytics to forecast demand and future sales, reduce out-of-stocks, improve the bottom line of their portfolios, and optimize staffing and store layouts.

Innovation teams rely on retail analytics to move their digital transformation initiatives and pilot programs forward. Predictive, AI retail analytics help these early adopters do scenario planning and strengthen buy-in for new, experimental projects.

While every stakeholder has a different use case for real-time retail data analytics, they all have the same goal: to harness business intelligence and AI to meet their team’s KPIs around growth, revenue, customer retention, and profit. Without modern retail analytics, these retail leaders would resort to guesswork and manual calculations—an entirely unscalable approach given the volume and complexity of customer data today.

The most popular retail analytics software today comes on enterprise-ready platforms that can deliver the level of automation, advanced analytics, and machine learning models needed to keep retailers competitive.

Traditional analytics solutions only provide descriptive analytics —those that answer the “what” of customer demographics, customer behavior, inventory levels, sales data, and the like—without digging deeper. Modern retail analytics offer much more, including diagnostic analytics that answer the “why”, predictive analytics that uses artificial intelligence to anticipate future trends, and prescriptive analytics that generate concrete action items.

Many retail leaders have also adopted self-service analytics solutions that put data in the hands of non-analysts. This lightens the burden on the data team while allowing stakeholders to get the answers they need in minutes.

One of the most game-changing new capabilities in retail analytics is powered by agentic AI. This technology uses advanced machine learning and generative AI to automate the complexity of query-based analysis, instead letting users ask questions of their data in natural language. In practice this can look like a simple Google search, or clicking into a chart to explore information like customer behavior or sales data in different ways.

ThoughtSpot combines the most powerful AI capabilities with the most intuitive ways to explore retail data.

Data teams use the platform to unify data across many channels and enterprise systems, building analytics solutions for their internal stakeholders they can explore without any analyst skills. Business leaders can quickly get answers and report on their own metrics without waiting for the help of busy engineers and analysts. Product teams can use ThoughtSpot to embed these capabilities right into their own applications.

Retailers use insights and recommendations from ThoughtSpot to drive company-wide metrics and optimize each function or line of business. AI analytics uncovers opportunities for upselling, cross-selling, referrals, and increasing customer satisfaction. It helps retailers better understand consumer behavior, preferences, and sentiment on channels like social media so they can fine-tune marketing campaigns, improve customer loyalty, accurately meet customer demand.

Retail analytics software also sets the stage for highly efficient, automated workflows in the areas of inventory management, real-time forecasting, and dynamic pricing. By eliminating repetitive and error-prone manual tasks from retail operations, companies improve their profit margins and make better data-driven decisions at scale.

ThoughtSpot Team Edition is available at a flat $95 monthly subscription. You can easily sign up from our Free Trial and pay using a credit card. Once you subscribe, you will be billed $95/month until you cancel.

For other product editions, ThoughtSpot uses a consumption-based pricing model that lets you pay for what you use. Your annual contract consists of a base package that includes a set of credits that lets you execute a certain number of queries against a data source. You can purchase additional credits as part of your contract if you need more.

No. Unlike other products, our pricing model uniquely lets an unlimited number of users access ThoughtSpot.

You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.

Contact us and tell us what you need and we can help you find the right solution.