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 question their own store data in plain language.
Most retail teams are not short of data. They are short of time between the question and the answer.
Consider a district manager who notices that conversion slipped across four stores last week. Everything needed to explain it already exists in the platform. Getting to it means remembering which report holds the answer, setting the date range, filtering to the right locations, then comparing it against the weeks on either side. That is a few minutes for someone who uses RetailNext every day. For someone who does not, it is a message to the analytics team and a wait.
Multiply that by every question a retail organization asks in a week, and the real cost becomes clear. It is not missing data. It is decisions that arrive later than they needed to, and the questions nobody bothers to ask at all because the effort outweighs the curiosity.
Pulse AI closes that gap. It is a conversational layer built into the RetailNext platform. Someone asks a question in ordinary language, in the language they work in, and gets an answer in seconds, drawn from the same measured data that sits behind their dashboards. No report to locate. No training required. No queue.
Pulse AI Sits Where The Question Actually Occurs
The most useful thing about Pulse AI is not that it can answer a question… Rather, it’s where it can answer one.
Pulse AI is now available across effectively the whole platform: Reports, Video, Security Events, Point of Sale, every dashboard, and every Admin page. The Benchmarks Dashboard is the one remaining exception, and it is coming shortly.
That matters more than it might sound. Questions do not arrive at a convenient moment on a convenient screen. They arrive while someone is already looking at something and thinking, "that does not look right." Pulse AI reads the page you are on, so a question as vague as "why did this drop?" is answered in the context of what is currently in front of you. The thought does not have to travel to another part of the platform to become an answer.
What That Looks Like In Practice
- A store manager, mid-shift. Traffic looks healthy but the day feels quiet. Instead of waiting for tomorrow's report, they ask how conversion is tracking against the same day last week, and get the comparison in seconds. If it is down, they can act while the shift is still running.
- A regional lead, preparing for a Monday call. Rather than pulling each location individually, they ask which stores in their region underperformed on conversion last week and by how much. The comparison arrives already assembled, and the twenty minutes that would have gone into building it goes into deciding what to do about it.
- An operations manager who does not live in the platform. They need a weekly performance summary sent to eight people every Monday. They ask how to set it up and get step-by-step guidance drawn from the official RetailNext Knowledge Base, with a link to the underlying article. No ticket raised, no waiting for a reply.
That last example is worth dwelling on, because Pulse AI does two distinct jobs. It answers questions about your performance and about the product itself: how to configure something, where a setting lives, and why a feature behaves the way it does. Setup and troubleshooting questions are answered from our official documentation, with a link to the source in the response, so anyone can check the full article if they want the details.
Answers You Can Act On
An assistant is only useful if the people using it trust what comes back. Three things make that possible.
- Pulse AI answers from your own measured data, not from inference. It queries your metrics through RetailNext APIs and reports what was actually recorded in your stores. Where the data does not support an answer, it says so rather than filling the gap.
- It respects the permissions your teams already have. Pulse AI uses each person's own access rights, so it cannot show anyone something they were not already able to see. If a user has no access to point-of-sale data in the platform, Pulse AI has none on their behalf.
- We are direct about how it works. Pulse AI is powered by Anthropic. What reaches the model is the aggregated, dashboard-level metrics that already appear in your reports, not raw or sensitive business data. We do not permit our AI providers to train their models on customer data without explicit permission. Like any AI assistant, Pulse AI can be imperfect, so a reminder to verify sits in the panel, and every answer can be rated, which is how we know what to improve next.
The Quieter Benefit: More People Asking
The obvious gain is speed. The more valuable one is reach. RetailNext has always worked towards being fully self-serve, but self-serve rewards fluency. Those who knew the platform well got the most from it, while store managers, regional leaders, and executives who logged in occasionally got less. Pulse AI removes the fluency requirement. Someone can ask a useful question on their first session, without a training course and without knowing which widget to open.
That is what changes what a team can deliver. Not one person working faster, but far more people able to interrogate their own data at the moment it matters, and to act within the same day rather than the following week. Administrators still decide who has access, so the reach is up to you to set.
Or Bring Your Own AI
Some organizations have already standardized on an AI tool of their own. RetailNext is also available as a Model Context Protocol (MCP) connector, so your data can be securely queried from the environment your team already uses, authenticated against each person's RetailNext login, and scoped to the permissions they already hold. It works independently of Pulse AI and carries no additional cost.
We are straightforward about the trade-off. Through the connector, the reasoning is done by your tool rather than ours. RetailNext provides the secure interface to the data, and the retail judgment that makes Pulse AI behave as an analyst comes from how we have tuned it.
💡 Pulse AI is included in every RetailNext subscription at no additional cost. If your teams have not tried it yet, the fastest way to understand it is to ask it something you have been meaning to look up.
