Are you looking for the best business analytics and business intelligence solutions in retail? Well, it is not surprising. According to Fortune Business Insights, the retail business intelligence market is anticipated to grow at a CAGR of 17.7% from 2018 to 2028, reaching USD 18.33 billion. The retail sector has

As per Lloyds Bank data, in the early stages of the epidemic, 65% of face-to-face payments were done using contactless payment via debit cards in June 2019, but by June 2022, this had increased to 87%. According to figures released in March by the banking sector trade association UK Finance,

When looking for the most relevant products and the best prices, shoppers don’t – surprisingly – have many options available to them. Depending on which research you believe, around 38-44% of product searches begin on Amazon, and another 40% or so start with a search engine. Mostly Google, of course.  Along

The Artificial Intelligence Call Center era has begun. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that millions of customers interact with today. With artificial intelligence (AI) gaining traction in the early 2000s,

Retail, particularly supermarket automation, continues to move faster than ten packets of toilet rolls when a lockdown is announced. It won’t surprise anyone that AI is at the forefront of the solutions changing the way we shop, including computer vision. We’ve seen AI-powered solutions that remove the need for cashiers

Foot traffic is one of the most helpful types of data for brick-and-mortar businesses to collect. Tracking how many people enter, where they go and when they leave helps understand customer behavior, assess performance, and optimize store layouts. Businesses today have a wide array of technologies to choose from to

Data is an indispensable resource for retailers. Today, most retail businesses understand that they must capitalize on digital data, but fewer know how to make the most of it. If these companies hope to reach their full potential, they must improve their data management. Data management is often a struggling

Data science is now essential to e-commerce success. Targeting the right audience through advertising platforms is highly necessary to boost online sales as customers only want to look at relevant products or items they need. Artificial intelligence (AI), with the assistance of machine learning (ML), helps determine the target audience

Without a doubt, publishers are well-placed to harness the relationship with their audience – possessing the means to collect and build the strong first-party data sets required to deliver personalized experiences and power various revenue streams. But, as the industry moves further away from cookie-based targeting – and Google speaks

As consumers across the globe become increasingly aware of their digital identity and personal data rights and further regulations take hold, it’s unsurprising that Google has announced it will not be replacing third-party cookies with identifiers and email addresses. Advertisers now need to look for new ways to engage valuable