Your assistant for running the shop

ShopFlare Berater is the assistant inside your dashboard. It is separate from the chatbot your shoppers use and from the guided Product Advisor. It helps you interpret available shop data and prepare next steps. Open ShopFlare Berater, type your question into the chat, and use the suggestion cards below it for a focused starting point.

Ask questions with a clear scope

Give the module, the period or finding, and the result you want. Ask it to distinguish measured observations from general advice when the distinction matters.

  1. Ask for evidence

    Try: ‘Which product gap has the strongest evidence in my current Commerce Intelligence results? Show me why.’

  2. Ask for a useful draft

    Try: ‘Draft a short product-page explanation for this compatibility issue. Use the facts we have and mark anything I need to confirm.’

  3. Ask for a practical check

    Try: ‘The chatbot is unsure about delivery dates. What should I check in my connected sources before changing its answer?’

Understand what it can see

Suggestions use the supported modules that are active and set up in your workspace. An active package can still lack usable measurements. If the assistant says evidence is missing, check the module's setup and data status. It is not a live view of every order, every connected website, or every external AI answer.

Review before applying a change

Read a draft, check the product or policy facts, and use the available preview or approval action for supported changes. If no apply action is available, copy the reviewed text into the appropriate shop editor yourself. A chat reply alone does not mean your storefront has changed.

Technical details and methodology

For the collection steps, eligibility rules, calculation units, and limits behind this workflow, use the implementation-reviewed technical guides below.