Ecommerce

Recover carts and answer instantly

Every unanswered pre-purchase question is revenue left on the table. Voxe combines instant, policy-grounded support with live catalog intelligence — so shoppers complete checkout, track orders, and come back for the next purchase.

Ecommerce store increasing conversions with faster AI support

Cart rescue · WISMO · catalog AI

Instant

AI chat matches the urgency of browse, checkout, and WISMO moments

Live catalog

Intent-aware recommendations with inventory, price, and variants

Peak-ready

Absorb spikes without linear hiring — same playbook as holiday season stories

Support is a sales channel

For stores, the funnel is not linear — it is a series of moments where speed decides revenue. Pre-purchase questions, checkout saves, and post-purchase reassurance each need answers in minutes or seconds, not the next business day. Voxe is built for that tempo, with optional live commerce data when you want chat to close the loop all the way to cart.

Built for D2C and retail brands

How ecommerce teams deploy Voxe

Shoppable product recommendations inside chat

Sizing, shipping, returns, and fit questions decide whether a cart ever forms. If the answer is not immediate, many shoppers leave — research ties fast answers during purchase to much higher conversion than slow channels. Voxe responds in-channel in seconds, 24/7, from your policies and product knowledge.

Revenue and operations

What your store gains

Speed & conversion data

Recover more carts

High-intent questions get answered while the shopper is still on site — the lever research consistently ties to completion rate, especially versus delayed email.

Fewer bad recommendations

Inventory-aware filtering means you do not surface out-of-stock items as if they were purchasable — reducing the classic browse-to-disappointment drop-off.

Repeat purchase lift

Fast, consistent post-purchase answers protect the next conversion. Slow WISMO and returns handling erodes LTV; automation plus human backup covers both volume and edge cases.

Peak season without seasonal math

When daily tickets multiply, AI absorbs the repetitive slice so your core team handles complexity — the same structural win documented in retail peak-season deployments.

Three ecommerce moments

Browse, buy, and post-purchase — each with the right mix of AI and human.

Browse & compare

"Will this fit?" / delivery cutoff / return window before I buy

Ground answers in your policies and product content. Instant response keeps the session alive; no ticket queue required for the questions that decide checkout.

Shoppable discovery

"Blue light glasses with strong sun protection" / budget + attribute filters

Parse intent, query the live catalog, exclude unavailable SKUs, show cards with price and add-to-cart — decision stays inside the conversation.

Orders & exceptions

WISMO, damaged shipment, wrong item — plus escalation to a human

Live tracking from OMS integrations for status questions; documented playbooks for common issues. Frustration and high-value cases route with full thread to agents.

Customer story · Peak season

“During our peak season, we handled 4× normal ticket volume without adding a single agent. 81% resolved automatically. CSAT went up, not down.”

— Support Team Lead, Home Goods Retailer

81%

Auto-resolved

4×

Peak volume

↑ CSAT

vs prior year

Read the full story

From questions to cart

Conversations that close sales

When chat understands intent and queries live catalog data, you shorten the path from “I need something like this” to shoppable options — with stock and price current, variants respected, and no forced detour through generic category pages.

Read: conversations into sales

Product recommendations in chat with live commerce data

Common questions

Ecommerce support, catalog AI, and peak volume.

Answer before they bounce

Instant support at browse and checkout, live catalog when you need it, and humans for the exceptions — without per-resolution penalties when automation works.