What Is AI Code Review? Artificial Intelligence (AI) code review is an automated process that examines the code of a software application for potential problems
Purchase prediction must resolve to an individual product decision A model is commercially useful only when its output changes a real action and can be
Consumers are changing buying tactics for their self-care needs as they prioritise budget-friendly products and battle economic choices on essentials by intensifying price comparisons, approaching
Judge deep learning by the decision it improves Deep learning can reveal complex relationships across large datasets, but technical sophistication alone is not a commercial
What is the hyper-personalisation trajectory? A simple question with a myriad of answers. Ron Shevlin proposes “It is a series of interactions that strengthens a
Virtual agents and AI chatbots will be eating into search volumes over the next two years, causing them to decline by 25%, according to a
With ecommerce surging, building direct-to-consumer capabilities is more important than ever—but how do companies truly scale their D2C business? Direct-to-consumer (D2C) ecommerce currently presents the
Where health-and-wellness growth becomes retailer revenue A growing category raises opportunity and competition together. The retailer still has to recognise whether an individual favours particular
Running an online store is a complex business. From copywriting to managing ecommerce marketing campaigns to providing exceptional customer service, it’s a lot. Luckily, artificial intelligence (AI)
What this means for ecommerce retailers Brand equity is strengthened when customer communication consistently feels relevant, restrained and recognisably aligned with the retailer’s proposition. SwiftERM
Individualisation in cosmetics requires product-level evidence Beauty customers reveal changing affinities across skin concern, ingredient, shade, format, brand, price and replenishment cycle. Broad personas may
Deep-learning algorithms in an ecommerce commercial context An algorithm is not commercially valuable because it is fashionable or technically complex. The relevant measure is whether
What this means for ecommerce retailers The practical distinction for retailers is not terminology but whether the method produces reliable, explainable and commercially useful customer-level
Personalisation is not a new concept. Brands have long known that tailoring their offerings and communications towards individuals can dramatically improve customer retention and increase
This article introduces a selection of papers on Large Language Models (LLMs) from around the world addressing the latest technology being used to push the
Large Language Models (LLMs) are neural networks with multiple parameters. They are trained on large volumes of text data through semi-supervised learning. The most well-known
Driven by technological advances such as artificial intelligence and changing consumer expectations, companies are facing new opportunities and challenges. Ecommerce is flourishing, but competition is
If your customer retention strategy relies on “buying” loyalty with rewards, rebates, or discounts, it is coming at a high cost. And these days, it
