Inventory availability can vary widely for D2C brands with nationwide or international reach. A D2C furniture brand learned this the hard way—customers in certain regions were adding products to cart, only to discover during checkout that delivery wasn’t possible in their area.

The result? Frustrated customers, abandoned carts, and mounting support tickets.

Instead of hard-coding regional logic or creating separate versions of the site for each zone, they turned to CustomFit.ai. Using JS snippet execution combined with real-time geolocation segmentation, they automatically hid products that were unavailable for a visitor’s region—right at page load.

Now, a visitor from Bangalore would see a different product listing than someone browsing from Jaipur, based on inventory and shipping feasibility. The experience remained smooth and flicker-free, with zero delay in rendering.

This seemingly small change had a big impact. Customer complaints around delivery eligibility dropped significantly, while satisfaction scores and product discovery metrics improved. People were seeing what was relevant to them—and nothing more.

By using CustomFit.ai’s region-based personalization, the brand eliminated the need for duplicate product pages or backend logic changes. Inventory control became dynamic, flexible, and marketer-friendly. And with JS rules that could be updated anytime, the brand stayed agile in managing stock across locations.

‍