TextYess S.R.L. Unclaimed
AI-powered platform that helps ecommerce brands turn conversations into revenue across multiple channels.
TextYess S.R.L. is a technology company delivering an AI-powered, omnichannel conversational platform for ecommerce brands. The company’s mission is to help online retailers grow revenue by turning every customer interaction into a sales or service moment. It unifies customer data across channels and enables autonomous AI agents to engage shoppers in real time, across on-site chat, WhatsApp, and voice, with personalized product guidance, order updates, and post-purchase support. The platform connects to store data such as products, orders, and customer profiles, enabling proactive campaigns, intelligent recommendations, and analytics that attribute revenue to conversations. By enabling fast, human-like conversations at scale, TextYess aims to improve conversion rates, the accuracy of information, and customer lifetime value without requiring heavy human headcount or complex setup. The target audience includes direct-to-consumer brands and ecommerce teams seeking a scalable way to deliver consistent, personalized customer experiences while maintaining control over brand voice and data. TextYess emphasizes ease of deployment, multilingual capabilities, and seamless integration with existing ecommerce stacks to help brands sell more, support better, and retain customers.
To empower ecommerce brands to build real relationships with customers at scale through AI-driven, human-like conversations.
What we offer
TextYess Platform
Enhances eCommerce by turning interactions into conversions through real-time AI engagement.
www.textyess.com/Market segments
Market size by segment
Growth potential (CAGR)
Conversational commerce
Capabilities that enable automated ordering, payment link generation, returns processing, SKU/pricing awareness, upsell and conversion optimization within voice and messaging interactions to drive revenue outcomes.
Omnichannel customer engagement
Platforms that unify voice, chat, email, and messaging with shared context, intelligent routing, and agent interfaces to deliver consistent cross-channel experiences and personalized service.
Conversational AI and voice automation
AI-driven voice agents, automated call summarization, transcription, tagging, topic extraction, sentiment analysis, and autogenerated CRM notes to automate and scale voice interactions.
Conversation-driven analytics and attribution
Analytics and optimization that measure revenue per conversation, attribute orders and post-purchase outcomes to conversational interactions, and surface insights to improve campaign and agent performance.
More information about our offering
TextYess Platform
TextYess Platform includes an on-site AI shopping agent, WhatsApp AI agent, and AI voice agent that transform customer interactions across various channels. It is designed to turn browsing into buying by understanding shopper intent, maintaining context, and engaging at key moments to aid in purchase decisions. With features like contextual personalization and robust analytics, it supports end-to-end shopper journeys and provides insights into conversation-driven outcomes and performance.
- Drives Sales SeamlesslyUtilizes conversational prompts to convert inquiries into completed transactions, enhancing sales capabilities.
- Anticipates Shopper NeedsDelivers immediate responses that align with user intent, improving user satisfaction and engagement.
- Manage Conversations AutomaticallyThe AI agent handles customer queries autonomously, providing instant and relevant responses 24/7.
- Ensures Continuous EngagementThe ability to handle customer queries at any hour enhances customer satisfaction and retention.
- Manages High Call VolumesEfficiently handles a large number of calls, reducing the need for human agents.
- Provides Human-Like InteractionCreates a more engaging experience for customers through realistic dialogue.
- Remembers User PreferencesImproves user experience by recalling previous interactions, ensuring personalized guidance.
- Enhances User InteractionConcise, timely prompts that encourage users to continue their shopping journey without interruption.
- Customize Every MessageLeverage customer insights to craft personalized messages that enhance engagement and conversion rates.
- Tailors ResponsesImproves call handling by responding appropriately to the needs of the caller.
- Tracks Post-Sale PerformanceEnables businesses to analyze and optimize their post-purchase customer interactions for improved retention.
- Engage All Contacts at OnceSend targeted campaigns to your customer base simultaneously, maximizing outreach and impact.
- Delivers Seamless ConversationsEnsures that customers feel understood and engaged throughout their interactions.
- Centralizes Customer InsightsFacilitates a cohesive understanding of customer interactions across platforms for strategic marketing.
- Streamline Customer InteractionsAutomate repetitive tasks and interactions, improving efficiency and enhancing customer experience.
- Enhances PerformanceGathers data on call performance, helping businesses refine strategies for better outcomes.
- Gain Insights on PerformanceAnalyze data to understand the success of campaigns and optimize strategies for future interactions.
- Centralizes Customer InformationEnsures a seamless transition between different communication channels and customer history.
- Maximize Campaign EffectivenessAdopt a targeted approach to campaigns, ensuring relevance and increasing chances of conversion.
- Create Engaging Content AutomaticallyUse AI to draft compelling messages that resonate with customers, saving time and increasing engagement.
References
Methodology and sourcing behind the figures shown above.
Conversational commerce
Search results describe conversational AI and its transactional use cases (ordering, payments, upsell) but contain no explicit market numbers. Using those sources to define the segment (AWS, IBM) and applying domain knowledge about conversational-AI and e‑commerce SaaS adoption: estimate the addressable vendor market for conversational commerce (platforms, integrations, payments, bots) at roughly $3.0B today. Assumptions: conversational commerce is a subset of the broader conversational-AI and e‑commerce automation markets; vendor/software revenues, implementation services and transaction fees drive the market; rapid LLM and messaging/voice adoption support a high growth rate. Given current enterprise adoption and continued investment, a mid‑20% CAGR (estimated 22% annually) is reasonable for the next 5 years.
Omnichannel customer engagement
Estimates use published customer engagement solutions market figures (omnichannel is a major component). Reported market sizes cluster in the low-to-mid $20s billion (2024–2025) with reported CAGRs ~10–15%. I selected USD 24.36B (Fortune Business Insights 2025 figure) as a representative current market size and a consensus CAGR of ~11% reflecting multiple sources (MarketsandMarkets, PrecedenceResearch, Fortune, FMI).
- The global customer engagement solutions market size was valued at USD 24.36 billion in 2025
- The global customer engagement solutions market size accounted for USD 29.39 billion in 2025; CAGR 11.38%
- Industry Size (2024): USD 21.42 Bn; CAGR (2024 to 2034): 15.3%
- Market size expected to grow from USD 19.3 billion in 2022 to USD 32.2 billion by 2027, at a CAGR of 10.8%
Conversational AI and voice automation
Triangulation of recent industry reports (MarketsandMarkets, Market Research Future, Grand View via K2view) shows 2024 conversational AI market estimates between ~$11.6B and $13.8B. I use MarketsandMarkets' 2024 estimate (USD 13.77B) as the baseline. Reported CAGRs range from 19.6% to 23.7%; the estimated growth potential is the average of those reported CAGRs (~21.9%).
Conversation-driven analytics and attribution
Estimates derived from the broader marketing attribution/analytics market (reported at roughly $4.3–5.8B in the mid-2020s with CAGRs ~13–15%), and adjacent social analytics growth (CAGR ~25%). Conversation-driven analytics is a niche within attribution—assumed ~10% current share of the attribution market (~$0.5B) but with faster adoption due to AI-driven conversational ads and chat analytics, giving a higher growth potential (~20% CAGR) compared with the overall attribution market.
- The global marketing attribution software market size is likely to be valued at US$ 5.4 billion in 2026
- Estimated at USD 4.81 billion in 2025; CAGR 14.64% (2026-2034)
- 2024 Market Size $4.35 Billion; CAGR 13.62% (2025-2035)
- Social Media Analytics Market size valued $4.8 billion in 2023; CAGR 24.9% (2023-2028)
- The global marketing analytics market is valued at $5.8 billion in 2024
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