Webscale Networks

Big news: Jay Smith, co-founder & CTO, is now CEO of Webscale! 🚀 We’ve also secured strategic funding from our insiders at BGV to drive agentic commerce & AI-powered infra management. Excited for this next chapter... LFG!

Tracking questions during checkout helps merchants improve product pages and reduce abandoned carts in the future. These patterns often show which details shoppers want before they place an order.

When shoppers get the info they need in the moment, they’re far more likely to complete their purchase. Quick clarification often removes the last bit of uncertainty before the final step.

Carts are more likely to convert when customers get answers without leaving the checkout process. Keeping that information in the same flow helps shoppers stay focused on completing the order.

To discover the benefits of AI assistants, take a look at this guide: webscale.com/shopping-assis…

When shoppers can’t confirm a detail very quickly, they may leave without buying. AI assistants provide the answers needed to complete the purchase while the session is active.

Providing product, shipping, and policy details during checkout reduces the chance that a shopper will leave the site. When answers appear immediately, shoppers can confirm what they need and continue their purchase.

Shoppers sometimes leave items in their cart because they can’t find an answer to a simple question. AI assistants can provide the information needed instantly to help customers complete their purchase without leaving the site.

Each time a shopper accepts or ignores a suggestion, AI learns what works. That feedback helps future recommendations feel more relevant and easier to act on.

When shoppers compare products or look at several options, AI assistants can suggest additional items that supplement what they’re considering.

Showing an upgrade or accessory while someone is browsing isn’t the same as showing it at checkout. The timing often determines whether the suggestion gets noticed.

Timing makes all the difference, and AI assistants can suggest add-ons or upgrades while shoppers are browsing or reviewing their cart. These suggestions feel helpful rather than distracting.

Your commerce stack sees clicks, filters, and catalog activity, but most infrastructure ignores signals once the session ends. What if your systems could respond while the shopper is still there? We’re launching something for just that. Agentic Commerce OS goes live March 31.

A relevant suggestion can draw attention to products a shopper may have missed and make adding another item feel like a natural next step.

Upselling works best when it helps shoppers find what they need, instead of pushing extra items on them. AI assistants can suggest products or upgrades at the right moment to make shopping easier.

AI guidance only works if it can see live store data. Without access to inventory and pricing, suggestions fall out of sync, and shoppers end up with options they can’t actually buy.

Running into out-of-stock items is frustrating and often ends a session. An AI assistant can immediately offer a similar option, so the shopper keeps moving instead of starting over.

For more on the ins and outs of AI assistants, take a look at our guide: webscale.com/shopping-assis…

Shoppers often leave without buying because they aren’t sure what fits their needs. AI assistants can recognize hesitation and suggest the right options while they’re still browsing.

Recommendations usually follow past activity, which misses what’s happening now. If a shopper’s interests change, an assistant that reacts in the moment can keep suggestions attuned with their current needs.

To discover how AI assistants can enhance the shopping experiences, read this guide: webscale.com/shopping-assis…

Long result pages slow shoppers when they are still figuring out what they want. AI assistants that ask simple follow-up questions can narrow options and point shoppers toward products that fit.