Customer service: every request qualified, tracked and resolved, without losing the thread across channels
Customer service keeps the promise made at the moment of purchase: it answers, reassures, resolves and reports back what customers say about the offer, the delivery and the product. It is one of the functions where automation shows fastest, because a large share of requests concern information already held in the ERP, the order system or carrier tracking.
At the crossroads of logistics, sales, quality and finance
Customer service receives requests by e-mail, phone, chat, forms and marketplaces, and often has to fetch the answer elsewhere: from logistics for a delivery, from finance for a refund, from quality for a product complaint. It works with the sales, e-commerce and store teams, who expect reliable feedback on customer pain points. Its value lies less in response speed than in its ability to qualify accurately, answer precisely and know when to escalate.
A typical day.
- MorningSort the overnight queue (e-mails, forms, marketplace messages) and flag urgent or sensitive requests.
- MorningAnswer “where is my order?” requests by cross-checking the order system and carrier tracking.
- MiddayCover chat and phone at peak time, with the customer’s history in view.
- AfternoonProcess returns, refunds and complaints, backed by documents and photos.
- End of dayChase files awaiting an internal answer: logistics, quality, finance.
- Every weekUpdate response templates and the knowledge base, and report recurring contact reasons.
What the role is measured on.
- First response time
- Resolution time
- First contact resolution rate
- Customer satisfaction (CSAT, NPS)
- Contact volume by reason and by channel
- Escalation rate and overdue cases
Indicators are named, never quantified: levels depend on each company, and the diagnostic measures them.
The problems that come up most.
Channels that don’t talk to each other
The same customer e-mails, follows up by chat, then calls: without a unified history, the agent starts all over and the customer repeats the request.
Scattered information
Order status, parcel tracking, refund status: the answer exists, but across several tools that have to be checked one by one.
Manual triage
Every morning, the queue is read, sorted and assigned by hand; urgent requests get lost among simple questions.
Response templates that age
Return conditions, delivery times, procedures: when the knowledge base is out of date, each agent ends up with their own version.
Escalations without follow-up
A request passed to logistics or quality drops off the radar; the customer chases before customer service knows where the case stands.
The customer’s voice lost
Contact reasons, recurring defects and delivery pain points stay in tickets instead of feeding the offer, supply and quality teams.
One role, several realities.
- Fashion and luxury
In fashion and luxury, customer service extends the boutique: demanding clients expect a personal answer, in their language, informed by their purchase history. Concierge services, repairs and personalisation requests call for flawless follow-up, where tone matters as much as the answer.
- Retail
In retail, customer service serves omnichannel end customers: online order, in-store pickup, return through another channel. Order and delivery tracking, returns and refunds make up most of the volume, with peaks at every key commercial moment.
- Cosmetics and beauty
In cosmetics and beauty, part of the requests concern product use, composition or tolerance. Any complaint that may fall under cosmetovigilance (reaction, adverse effect) is identified and passed to the authorised teams, who remain solely responsible for it.
- B2B distribution and wholesale
In B2B distribution and wholesale, the contacts are professional customers: availability, lead times, backorders, invoices and credit notes. Customer service works closely with order administration and sales reps, and handles technical after-sales that requires knowing the references and their conditions of use.
- Construction and property
In construction and property management, requests come from co-owners, owners’ councils and site clients: works progress, snag lists, disturbances, interventions to schedule. Each request must be linked to the right building, unit or site, and followed through to closure.
- Industry
In manufacturing, customer service answers professional customers on availability, lead times, delivery compliance and technical after-sales. It links production, quality and field service, on cases where the exact reference and serial number make the difference.
- Pharma and healthcare
In pharma and healthcare, customer service handles logistics and commercial requests: orders, availability, deliveries to pharmacies and facilities. Any medical information question and any report falling under pharmacovigilance is identified and passed to the authorised teams; it is never handled by an AI agent.
Automate the task, keep the judgement.
What gets automated
- Sorting and qualifying incoming requests across all channels, by an AI agent that reads the message, identifies the reason, the customer and the order, then routes it to the right queue.
- Answers on order and delivery tracking, built from ERP and carrier statuses by a connected tool, sent or suggested to the agent according to the rules set.
- The first draft of replies, adapted to the case and the brand’s tone by an AI agent drawing on the knowledge base, reviewed by the team before sending for sensitive requests.
- Preparing return, refund and complaint files: documents, photos, order history and applicable conditions gathered in the ticket from the ERP.
- Escalation follow-up and reporting: automatic internal reminders, alerts on overdue cases, dashboards by reason, channel and response time.
What stays human
- Approving a goodwill gesture, a credit note or an out-of-policy refund.
- Handling delicate customer relationships: unhappy customer, key account, situation putting the brand’s image at risk.
- Any decision on a complaint with a quality or regulatory dimension, taken by the authorised teams (cosmetovigilance, pharmacovigilance, medical information).
What teams look to improve.
- How to automatically sort customer service e-mails?
- Start by defining a short list of contact reasons (order tracking, return, refund, product complaint, after-sales) and the information to extract for each. An AI agent can then read each message, identify the reason, find the customer and the order in the ERP, and route the request to the right queue with a priority level. Ambiguous or sensitive cases are flagged to an agent, who keeps control of the final qualification.
- Which tool to centralise customer requests from every channel?
- The first step is a single ticketing tool receiving e-mails, chat, forms and marketplace messages, with a history per customer. It shows its full value once connected to the ERP, the e-commerce platform and carriers, so that the order and the delivery appear in the ticket without searching. Automation then handles linking and enriching requests; choosing the answer and the tone stays with the agent.
- How to automate “where is my order?” replies?
- List the available order and delivery statuses and write a response template for each, including delays and stuck parcels. A tool connected to the ERP and carrier tracking can then produce an accurate answer and send it, or suggest it to the agent according to your rules. Abnormal situations (lost parcel, customer who has already chased, large order) go to an agent who decides what happens next.
- How to speed up handling of returns and refunds?
- Write the rule before tooling up: return conditions, applicable time limits, required documents, cases giving right to a direct refund. Automation checks eligibility, gathers order history and photos, triggers the return label and prepares the file in the ERP. Approving an out-of-policy refund or a goodwill gesture remains a human decision.
- How to keep the customer service knowledge base up to date?
- Appoint an owner per topic (delivery, returns, product, payment) and turn every uncovered question into an update request. An AI agent can spot recurring questions with no response template, draft a first article from replies already sent and flag content contradicted by a recent procedure. Validating content and tone is the team’s job, as it remains accountable for what is said to customers.
- How to avoid an escalation going unanswered?
- Set, for each type of escalation, a recipient, an internal response time and a reminder rule, and make these escalations visible in the same tool as the tickets. Automation reminds the team concerned, alerts the manager when the time limit is exceeded and keeps the customer informed of progress. Arbitrating between teams, when a case is blocked, remains the customer service manager’s decision.
- Can an AI agent answer customers on its own?
- Start with low-risk requests whose answers can be verified, such as order tracking or availability questions, and keep human review on the rest. The AI agent then answers these reasons from connected data, clearly flagging the cases it cannot handle. Complaints, goodwill gestures, unhappy customers and any regulatory matter, such as pharmacovigilance or cosmetovigilance, remain handled by people.
- How to track customer satisfaction without multiplying dashboards?
- Choose a few indicators tracked over time (first response time, resolution time, first contact resolution, post-interaction satisfaction) and link them to contact reasons. A dashboard fed automatically by the ticketing tool and the ERP updates them without manual consolidation and highlights the reasons that generate the most dissatisfaction. Analysing causes and agreeing actions with logistics, the offer or quality remain the team’s responsibility.
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