Darty: the next sale begins with how the previous one ended

When an appliance fails, few people dream of speaking to five departments. They want to know what happens next. Instead, their story sometimes becomes a series: every episode begins with the model, symptoms and previous conversation being explained again. A remarkably durable format, considering nobody requested a second season.

Transfer the context, not the responsibility

The first colleague records a minimal case: product, order, observed symptom, steps already taken and preferred contact route. AI structures the account but does not add a diagnosis. The customer can review and correct the summary. Preserving what has already been tried is particularly useful when another team becomes involved.

The case enters the appropriate queue with an owner and visible status. Additional answers extend the existing record instead of creating a new story with another number. AI can prepare a concise specialist briefing. A qualified person remains responsible for assessing the fault and deciding the next technical action.

Opening with another sale would be a mistake. Replacement may eventually be reasonable, but repair options and applicable service conditions should be understood first. A system that treats every breakdown as a convenient basket-expansion opportunity communicates its actual priorities rather effectively. Customers are quite capable of noticing.

Keep the context controlled

Order history should be accessible only to people who need it for the case. Similar names must not expose somebody else's information. Retention and correction procedures should be understandable. Warranty and service statements come from current approved documents, not a language model's memory of how consumer protection usually works.

A pilot could focus on one category with frequent repeated explanations. Measure the existing path and number of handoffs first. Then establish whether a structured case reduces effort for the customer, rather than merely adding another attractive screen to the internal system. More information is not automatically better coordination.

Follow the case itself: repeated requests for core information, cases with a clearly identified owner, and time to an agreed next action. That last measure is distinct from complete repair time, which may depend on parts supply. Incorrect summaries and pressure to purchase replacements are important failure signals.

Darty offers appliance repair services. That real service context supports my independent proposal for an AI handoff between sales and support. This is not a description of Darty's internal technology or a promise about any particular repair; applicable terms must be checked against the order.

The commercial hypothesis is trust that may support future purchases; it still needs evidence rather than a confident slide. Sales and service are not separate universes for the person who paid. If the previous problem was handled properly, deciding where to shop next becomes considerably less complicated.