Conversation as part of a purchase
A retail assistant can talk to shoppers on a website, in an app or through messaging. Shopify’s retail chatbot guide describes uses including product guidance and answering customer questions. This provides context for considering where a conversation fits into a store.
Source: Shopify · Retail chatbots.
Read the journey in four stages
We suggest reviewing each experience through four stages: discovery, selection, order preparation and continuity. This is SellEasy’s working framework for analyzing conversations, not a market statistic.
In discovery, see whether the customer finds relevant options. In selection, check that product and variant questions are resolved. In preparation, identify what information lets the order move forward. In continuity, see whether the team can handle payment, delivery or a later question without reconstructing the earlier discussion.
Which signals to measure
Define the signals before comparing periods or tools. Decide what counts as a shopping inquiry, what demonstrates an order and what confirms a paid sale. Keep the criteria consistent and document the observation period.
- Questions without sufficient answers: information the store is missing.
- Requested variants: the size, color or combination the person wants.
- Availability: whether the requested option existed at the time of inquiry.
- Progress: product selected, missing details and order prepared.
- Human continuity: why the team stepped in and the next action.
- Outcome: the actual order and payment status, where evidence exists.
Interpret before optimizing
A conversation may stop for several reasons: a missing size, unsuitable delivery timing, a question about price or a person who was simply exploring. Reading a sample of conversations helps avoid assigning the same explanation to every case.
For example, if several people request an unavailable combination, reviewing assortment or replenishment may be useful. If stock exists but measurement questions recur, improving the sizing guide may help more. These are working hypotheses to check against the store’s evidence.
Turn learning into a recurring review
Bring sales and operations teams together to review the same conversations and orders. Record the observation, the information corrected and what will be checked next. This connects customer questions to decisions about catalog, knowledge and service.
When evaluating a solution, ask for verifiable examples and distinguish available features from those still in development. An automation promise needs a demonstration of a concrete journey and information your team can interpret.
