beinf.ai Blog

You know that feeling when you spend an hour browsing an online store, opening dozens of tabs, comparing products, reading reviews...

Imagine you're trying to line up a bunch of kittens for a photo. You sort them by fur color, nudge them into place, and raise the camera. They scatter anyway. Each kitten follows a reason you can't see - hunger, fear, curiosity - and those reasons change from moment to moment. The rows look tidy for a second, then fall apart. It's a perfect metaphor for what every CRM manager faces.

While working with data, we see it very often: customer information is scattered across different systems. Emails are stored in your email platform. Order history lives in a CRM or ERP. Support requests are tracked in a helpdesk tool. The information is fragmented, making it hard to get a complete picture of the customer.

E-commerce personalization is all about making communication feel truly relevant to each individual customer. When done right, it can have a powerful impact—not just on your sales, but on how customers feel about your brand.

Is using a client’s name in a newsletter really personalization? Technically, yes. But in reality, it barely scratches the surface. Most people don’t even notice it anymore. It’s become background noise.

Originally, predictive analytics was primarily for large enterprises aiming to make smarter, data-driven decisions. Companies wanted answers to questions like: Who will buy next? Who might leave? Which products should we recommend? Back then, using predictive analytics meant significant investments in infrastructure, data teams, and custom-built models.