Articles

Retail companies are increasingly turning to business intelligence tools in order to make the most of every opportunity. These solutions are helping retailers make better decisions with data-driven insights on store performance, customer engagement, product merchandising, and inventory management. While many enterprise businesses are comfortable with analytics and business intelligence, there is a growing need for retailers to easily access these tools as well. In this article, we will take a closer look at how retail BI is changing the game. Read more

Artificial Intelligence (AI) retail software is built to optimize many aspects of retail operations. Even now in its emerging state, AI retail software can help retailers improve customer service, personalize marketing efforts, optimize inventory management, predict retail trends, and better understand customer preferences. While many AI retail tools are available, few are exceptional. We conducted over 40 hours of research to help you curate the list of the best performing AI retail software of 2024. Read more

Rapid responding to ever-changing market conditions is essential for any growing retail enterprise. BI technology can come in handy here by adopting a retail BI solution, enterprises can collect data across multiple sources (such as web and mobile sales channels). This means they can visualize and analyze it, thus fostering data-driven business decision-making. In practice, enterprises can utilize retail BI capabilities to improve their marketing, sales, and consumer analytics. Read more

Driven by leaps in generative AI-powered tools like OpenAI’s ChatGPT, 2023 has been an unprecedented year of growth for the artificial intelligence industry — largely because the potential for AI applications is seemingly endless. Any retailer, no matter the size, could benefit from AI — from customer service to business intelligence to gaining more accurate consumer insights. However, it can be hard to sort through all the noise. Identifying the problem to be solved with AI and deciding how to pick a partner to help can be bottlenecks to growth and efficiencies for retailers. Read more

The retail industry is on the brink of a significant transformation, fuelled by the ever-improving capabilities of AI. While AI is already playing a crucial role in demand forecasting and customer sentiment analysis, its potential for industry-wide predictions remains a topic of debate. Looking forward, the retail landscape in 2024 is expected to see AI breaking through previous constraints, enabling faster decision-making and precise insights, according to the National Retail Federation. Read more

Power BI is Microsoft’s cloud-based Business Intelligence tool for managing and analyzing your data. Thanks to its DataVisualization features, you can visualize at a glance all your key indicators across all your activities, and easily interpret them.

With its technology, ETLs and computing power, Microsoft’s Power BI gives you incredible speed to connect hundreds of pieces of data, analyze them and prepare reports in real time. Read more

Artificial intelligence in retail is injecting a fresh dose of energy into the industry, helping retailers optimize their operations, explore new ways to engage with customers, and take CX to the next level.  We all know that the new frontier for retail success is personalization, but we face digitally savvy shoppers with constantly changing preferences who expect shopping experiences that are tailored, instant, and effortless. Read more

Artificial intelligence in retail is injecting a fresh dose of energy into the industry, helping retailers optimize their operations, explore new ways to engage with customers, and take CX to the next level.  We all know that the new frontier for retail success is personalization, but we face digitally savvy shoppers with constantly changing preferences who expect shopping experiences that are tailored, instant, and effortless. Read more

In the rapidly evolving retail sector, digital transformation has moved beyond e-commerce, extending into physical stores where customers engage directly with products and services.

E-commerce platforms have long held the advantage of data, capturing detailed insights on user behavior—what users are searching for, the time they spend on clothes, bags, or shoes, and the peak times of day for website visits. This rich data has allowed e-commerce companies to

fine-tune their offerings and marketing strategies with precision. Read more