Observed Signal · Aug 20, 2026 · Market Signal · Source: RetailNext · Impact: 4/5
Pulse AI: Stop Looking For The Report. Just Ask.
Pulse AI is a conversational layer built into the RetailNext platform. Here is what it does, where it lives, and what changes when anyone on your team can ...
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Recent verified developments and strategic activity across this market segment.
Pulse AI: Stop Looking For The Report. Just Ask.
Pulse AI is a conversational layer built into the RetailNext platform. Here is what it does, where it lives, and what changes when anyone on your team can ... Read More
Pulse Expands Intuitina Managed AI Chatbot
Pulse Software Solutions announced the expansion of Intuitina, a fully managed AI chatbot platform that handles training, tuning, deployment and long-term management (including during free trials). Intuitina supports over 2,000 websites, processes ~3,000 daily conversation sessions, has generated 100,000+ qualified leads and automated more than 1 million customer conversations. The company released a Live WordPress Content Connector plugin and emphasizes RAG-based, document-grounded answers, private deployments, on-premises hosting, and compliance guidance (HIPAA, SOC 2). Pulse positions Intuitina as a turnkey alternative to builder-only chatbot offerings, bundling model access, hosting, and inference costs into the service.
Retailers Embrace AI, Set Boundaries
At the CommerceNext Growth Summit in New York City, retail and brand executives described how they are deploying AI across customer-facing and internal operations — while clearly defining use-cases they won’t automate. Speakers from Tecovas, Ulta, Pandora, JD Finish Line, Kendra Scott and Authentic Brands Group described implementations such as in-store associate assistants, AI-driven product information tools, customer-service agents that escalate to humans, propensity modeling to route inquiries, and brand-specific knowledge bases. Executives emphasized human-in-the-loop controls for customer interactions, refused AI-driven model/on-skin imagery for product photography, and highlighted how first‑party customer data and machine learning are being used to personalize experiences and surface insights from call-center data.
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