
Trx-Buddy – Your personal advisor and assistant
Trx‑Buddy is your interactive decision-making partner that makes your RetailTrx data available in natural language – without heavy reports or complicated dashboards.
You ask questions as you think, Trx‑Buddy does the hard work in the data, provides explanations and suggests actions, while you are still in control of the decisions.
Digitalization and AI are moving from classic decision support to autonomous agent solutions that both analyze, decide and implement actions.
Trx‑Buddy deliberately goes a different path: as augmented intelligence, its role is to strengthen the judgment of professionals – not to replace it.
In practice, this means that users can ask in plain Norwegian, English or several other languages, about sales, inventory, forecasts, ad campaigns or supplier performance, and get immediate answers, analyses and explanations directly from the RetailTrx platform.
The AI helps you see patterns, risks and opportunities faster, but it is always the human who assesses, prioritizes and makes the final decision.
Trx-Buddy – User benefits
Speaks your business language
Ask questions in natural language about products, chains, campaigns or suppliers – without knowing SQL, BI tools or technical report structures.
All insights in one place
Trx‑Buddy connects to your RetailTrx data (POS, CPFR, inventory, campaigns etc.) and gives you one place to retrieve figures, analyses and explanations when you need them.
Faster from questions to actions
Instead of waiting for new reports or manual analyses, you get immediate answers, suggestions for actions and scenarios that you can test further.
Humans always have the last word
The solution is designed as decision support, not as an autonomous agent: Trx‑Buddy suggests, you evaluate and decide.
Learns from the dialogue
Over time, Trx‑Buddy learns which questions, periods, assortment and KPIs are most important to you, and can thus provide more accurate answers and more relevant suggestions.
Organizational security
Clearly separating analysis (AI) and decision-making (human) reduces skepticism about “black box” decisions and makes it easier to adopt AI broadly across the organization.