Data analytics for retail and e‑commerce

Know your business, make better decisions, and boost revenue with our AI-fueled analytics software.

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Transform your store into a data‑driven enterprise

Whether you’re selling online or in store, our platform is a one-stop shop for all your analytics needs.

Business Intelligence

Get crucial real-time insights

  • Optimize product operations by monitoring stock, identifying trends, and analyzing returns.
  • Unlock in-depth sales insights by assessing performance metrics, like growth and margins.
  • Understand your customers’ demographics, preferences, and purchase journey.

Self-service analytics

Empower your people to find answers

  • Leverage the simple no-code UI to easily create interactive visualizations, dashboards, and reports.
  • Share your analytics with teams, brands, and suppliers to improve cooperation.
  • Match the front-end design with your brand effortlessly via flexible white labeling.

New revenue streams

Monetize your data via new services

  • Develop a new product offering by providing advanced analytics features.
  • Embed tiered analytics, with more detailed insights reserved for paid access.
  • Offer AI-powered capabilities, such as predictive analysis to spot future trends.

Examples of e-commerce & retail dashboards

Check out how e-commerce & retail companies are using dashboards.

Product performance

Overview of product performance

Do we have enough stock? What are our bestsellers? Why are customers returning products? These are just some of the questions a product dashboard can answer.

  • Drill into insights for deeper understanding of products.
  • Easily share insights with partners and stakeholders.
Sales insights

Monitor sales at a micro and macro level

Provides real-time insights on sales, growth, and margins. Offers increased understanding of the customer base and demonstrates how sales figures compare to similar brands.

  • Simple visualizations that everyone can grasp.
  • Highlights key metrics with the desired level of detail.

Discuss your use case with us

See how GoodData can help with your analytics goals.

  • Talk with an expert about your specific business needs.
  • Get a customized platform demo.
  • Q&A about features, implementation, and pricing.
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Mavenlink
Fuel Studios
Boozt
Zartico
Blackhyve
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Why choose our BI platform?

Reasons e-commerce & retail stores companies love our platform include:

  • Intuitive platform with modern dashboards, predictive analytics, forecasting, AI assistant, and more.
  • Advanced embedding, great at multi-tenancy and scale.
  • Powerful automation of analytic workflows including entire data pipelines with analytics as code.
  • Accelerated performance, data federation, smart data warehouse cost management.
  • Multiple deployment options - any public, private cloud, or on-premise.

A trusted platform, loved by users

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Common questions

E-commerce analytics is about looking at the data that online businesses generate to understand how well they're doing. This data includes things like how many people visit their website, what they're buying, and who these customers are. Analytics tools help make sense of all this information, giving businesses valuable insights to improve how they operate online.

When businesses dive into these numbers, it's not just about statistics; it's about understanding the story they tell. This understanding helps companies adjust their marketing strategies, improve the products they offer, and fix any problems that customers might face while making a purchase. This approach is crucial in the competitive online market, allowing businesses to adapt quickly to what customers want.

The advantages of e-commerce analytics go beyond just reaching the right customers; it's about creating personalized marketing that resonates. Technological advancements are bringing even more improvements, like better predictions and the use of artificial intelligence. These kinds of changes will continue to shape how online businesses use data to succeed.

Retail analytics involves the use of data analysis tools to increase efficiency. The collected data is typically used to understand customer behavior, optimize inventory management, improve the overall shopping experience, and drive better business decisions.

By collecting and analyzing data from various sources such as point-of-sale systems, online transactions, and customer interactions, retailers can uncover patterns and trends. This information can then be used to improve product placement, pricing strategies, and marketing campaigns.

For instance, a retailer might use analytics to identify top-performing products, forecast demand, and personalize marketing efforts. By understanding customer preferences and shopping patterns, they can then tailor their approach to meet the needs of their target audience. This is just one example of how retail analytics empowers businesses to make informed choices based on real-time and historical data.

Using analytics software for your e-commerce or retail store can make a big difference. Firstly, it helps you understand your customers better by showing their preferences and how they shop. This info lets you adjust your products and marketing to boost sales and make customers happier.

Secondly, analytics software is great for managing your inventory. By looking at data, you can spot popular products, predict changes in demand, and avoid having too much or too little stock. This not only makes your supply chain smoother but also saves costs and makes your operations more efficient.

Analytics software can also be a game-changer for your marketing. It helps you track how different marketing channels and campaigns are doing, so you can focus on the ones that bring in customers. With this data, you can use your marketing budget wisely, getting the most out of your investment. Plus, analytics lets you see how engaged customers are, so you can create targeted campaigns that build loyalty.

In short, using analytics software gives your e-commerce or retail business smart decision-making, efficient operations, and a strong edge in the market.

Using analytics can make a big difference in solving supply chain issues. Firstly, it helps you understand how your supply chain works by collecting and analyzing data. This lets you find and fix problems, like where things slow down or go wrong. With this knowledge, you can make smart choices, manage your stock better, and keep a closer eye on the whole supply chain.

Predictive analytics is also super helpful. It uses data to predict what might happen in the future. This is great for knowing how much stock to have and when to order more. It keeps you from running out of things and stops you from having too much stuff sitting around. Analytics can also help with choosing the best suppliers by looking at their past performance. This makes sure you can rely on them and builds strong partnerships.

Finally, analytics can focus on what your customers like and want. By looking at their behavior and feedback, you can make sure you have the right things in stock, get orders out faster, and offer a more personalized experience.

Try GoodData yourself

See how GoodData can help with your analytics goals

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