artificial intelligence sales
EIN Presswire
Published on : Jul 2, 2026
Customer support has long been viewed as a cost center. AI is rapidly changing that equation.
Text, an AI-powered customer service and sales platform, has launched a new Shopify app alongside a WhatsApp Business integration, expanding its ecosystem of AI-powered selling tools across some of the world's largest e-commerce platforms. The move positions customer support as an active sales channel rather than simply a post-purchase service function.
The company is also rolling out new capabilities across WordPress, Webflow, and Meta Business while introducing image understanding for its AI agents, giving businesses additional ways to automate customer interactions and convert conversations into revenue.
Together, the updates reflect a broader shift in e-commerce, where AI agents are increasingly expected to do more than answer questions—they're becoming digital sales associates.
The biggest announcement is Text's native Shopify integration.
Already serving more than 800 Shopify stores through products including LiveChat, ChatBot, and HelpDesk, the company has now unified its customer engagement suite into a single dashboard powered by AI sales agents.
Unlike traditional live chat tools, the AI monitors shopper activity throughout the buying journey.
It can access live product catalogs, shopping carts, order history, customer information, discount codes, and other store data in real time to personalize conversations as customers browse.
If a shopper hesitates during checkout, the AI can proactively engage with tailored offers. Routine support conversations can also become sales opportunities when the system detects purchase intent.
The platform includes a live cart preview that updates instantly as customers modify their shopping carts, allowing both AI and human agents to respond with relevant recommendations before a purchase is abandoned.
Rather than replacing customer support teams, Text is positioning AI as a collaborative assistant.
Human agents and AI agents operate from the same inbox, allowing support representatives to monitor AI conversations and intervene whenever necessary without requiring customers to restart conversations or wait for transfers.
Outside business hours, AI agents continue responding to inquiries, collecting leads, answering product questions, and summarizing conversations for human teams to review later.
To measure business impact, the platform introduces a new Wins Counter, which attributes completed sales to either AI or human agents. Detailed reporting also distinguishes between manually completed sales, AI-assisted conversions, and fully autonomous purchases, giving businesses clearer visibility into AI-driven revenue.
Text is also extending its omnichannel strategy through a new integration with WhatsApp Business.
With more than two billion monthly users worldwide, WhatsApp has become one of the primary communication channels between businesses and customers, particularly for order tracking, product inquiries, and customer support.
The new integration connects WhatsApp conversations directly into Text's unified inbox.
Instead of fragmenting conversations across multiple platforms, businesses can maintain a continuous customer history even when shoppers move between a website chat session and WhatsApp messaging. Agents retain full context throughout the interaction, reducing friction and eliminating the need for customers to repeat information.
Beyond Shopify and WhatsApp, Text is broadening its presence across several widely used digital commerce platforms.
Its integration with Meta Business enables businesses to manage Facebook and Instagram customer conversations from the same interface, building on a partnership that already processes more than seven million customer interactions every quarter.
WordPress users can deploy Text without rebuilding their customer support infrastructure. The AI automatically creates its knowledge base using website content, including product pages, FAQs, and policy documentation, allowing businesses to automate customer responses from day one while tracking revenue attribution and conversation costs.
For Webflow users, the platform installs directly from the Webflow Marketplace without modifying site code. The company says the integration preserves website performance while matching the existing visual design of each storefront.
Another notable addition is multimodal AI support.
Text's AI agents can now interpret images alongside written conversations, allowing businesses to resolve customer issues that involve screenshots, product photos, receipts, or other visual information.
The feature also enables organizations to build AI workflows that trigger actions based on image content while extracting useful customer insights for lead qualification and sales opportunities.
Visual reasoning is quickly becoming a standard capability across enterprise AI platforms as businesses seek to automate more complex customer interactions that previously required human review.
Although Text introduced its AI selling capabilities only four months ago, the company says customers are already seeing measurable business outcomes.
According to internal customer data, AI agents now resolve an average of 74% of customer support inquiries without human intervention, with some organizations reporting automation rates as high as 90%.
Businesses using the platform have also recorded:
While those figures represent company-reported performance rather than independent benchmarking, they highlight a growing trend across e-commerce: businesses are increasingly measuring AI by its contribution to revenue, not just operational efficiency.
Customer support software is entering a new phase.
Instead of focusing solely on faster response times and lower operating costs, vendors are building AI platforms that actively participate in the buying journey—identifying purchase intent, recommending products, recovering abandoned carts, and assisting customers through checkout.
That evolution is intensifying competition among customer engagement platforms, with companies racing to integrate AI deeper into commerce ecosystems like Shopify, Meta, and WhatsApp.
For online retailers, the distinction between customer service and sales is becoming increasingly blurred. If AI continues delivering measurable improvements in conversion rates while reducing support workloads, digital customer service may soon be viewed less as a help desk and more as one of the most valuable revenue channels in modern e-commerce.
Get in touch with our MarTech Experts