07/29/2025
Using AI for hyper‑efficient B2B lead scoring
In today’s hyper-competitive B2B landscape, generating leads isn’t the hardest part anymore. Most businesses already have plenty of prospects coming in through their websites, email campaigns, and social media. The real challenge? Figuring out which leads are worth your team’s […]
07/27/2025
How AI can prevent fraud in loyalty and coupon programs
Loyalty and coupon programs have become essential marketing tools for businesses seeking to attract and retain customers. These programs encourage repeat purchases and foster brand loyalty by rewarding customers with points, discounts, or exclusive offers. However, as these programs grow […]
07/25/2025
Speed vs security: balancing AI model latency in fintech apps
In fintech, milliseconds can make or break a customer relationship. A transaction that takes too long risks abandonment. A security flaw in an AI model can cost millions – or worse, destroy trust. This creates one of the toughest dilemmas […]
07/23/2025
Enhancing CRM analytics with AI: predictive metrics to track
Customer Relationship Management (CRM) systems have long been essential for managing relationships and streamlining workflows. But in an era of fast-changing customer behaviors and high competition, traditional CRM analytics fall short. They provide snapshots of past activities but often lack […]
07/21/2025
Digital kiosks vs mobile apps: which suits your retail concept?
In an era where retail is rapidly digitizing, businesses face a key question: should you invest in digital kiosks or mobile apps to enhance your customer experience? Both technologies promise increased engagement, streamlined operations, and higher sales – but they […]
07/19/2025
Using RPA and AI to automate bill-of-materials in manufacturing
In the manufacturing world, the bill of materials (BOM) is the backbone of production planning. It lists all the components, raw materials, and instructions required to create a product. But managing and updating BOMs manually is time-consuming, error-prone, and often […]
