Automating customer support is a seductive promise: reduce costs, absorb growing volumes, gain responsiveness. But can you really automate without dehumanizing the customer experience ?
At Klark, we've helped many brands through this transformation. Here's what we've learned.
Why automate customer support?
Automation meets four major challenges:
Absorb growing volumes: seasonal peaks, rapid growth, multiplication of channels
Reduce response times: especially for simple, recurring requests
Lower costs: without compromising service quality
Taking care of your teams: offering a genuine mental relief tool
Beyond these gains, brands are looking for consistency on a large scale: a uniform tone and a consistent level of quality, whatever the time of day or the agent.
What can (and can't) be automated today
Automation does not mean delegating the entire customer relationship to a machine. Here are the areas where automation is relevant:
Priority for automation:
Answers to frequently asked questions(WISMO, returns, refunds).
Simple requests requiring little verification.
Intelligent pre-filling of agent responses.
Sorting, routing and categorizing incoming messages.
Leave it to humans:
Emotional or conflictual cases, even if AI systematically offers simplified stepping back
Requests requiring arbitration or a detailed understanding of the context
High-value commercial exchanges (upsell, loyalty)
The aim is to automate where the impact is greatest and the risk minimal.
The5 key steps to efficient automation
Map request types: identify the most frequent and costly ticket types.
Define a step-by-step automation strategy: start with requests that are significant in terms of incoming volume (more than 10% of the flow).
Choose the right tool: opt for solutions that integrate with your existing workflows and tools.
Involve agents: train them, bring them your vision and involve them concretely in personalizing responses.
Measure and adjust continuously: monitor key indicators to adjust scenarios to reality on the ground and validate the expected ROI.
Thepitfalls to avoid
Believing that AI can do everything on its own.
Brutally replacing humans without accompanying them.
Launch a generic chatbot without business and contextual data
Underestimate the impact of the brand's tone of voice on customer satisfaction.
And Klark?
Klark isn't just a bot. It's an AI co-pilot for your agents, capable of understanding requests, fetching relevant information from your back-office, and writing contextualized drafts in real time.
Fast integration: with no IT or business project workload, Klark integrates with market-leading helpdesks such as Zendesk or Salesforce.
Customized tone: trained on your historical messages.
Integrated specific data: packages, stocks, returns.
Performance model: you take no risk.
Klark has already been adopted by retail and e-commerce leaders such as Backmarket, Cdiscount, But, Izipzi and ba&sh. What if it were your turn?
Automating your customer support is a powerful lever, provided you do it methodically, sensibly and with respect for the end customer. The right tool is the one that saves you time, without causing your customers to lose confidence.
Would you like to test Klark and find out what you can automate? Request a demo.
Ready to boost your customer service?
Discover how Klark saves your support teams over 50% of their time.
Une IA service client maison coûte quelques centimes par ticket, tant qu'on ne compte que l'API. Setup, maintenance, modèles et coût complet : ce que nos clients nous ont dit, et comment trancher.
Prestataire externe, IA ou combinaison des deux : une grille en six critères pour décider quelles demandes de votre SAV e-commerce automatiser, garder en interne ou confier à un prestataire. Avec les pièges des contrats facturés au contact et les montages qui fonctionnent avec un prestataire déjà en place.
Une IA répond bien aux questions avant achat dès que la réponse est écrite quelque part : stock, retours, livraison, comparaison de produits. Le guide pour trier vos questions, préparer vos sources et savoir quand passer la main.
Coller un ticket dans un ChatGPT personnel envoie les données d'un client chez un prestataire sans contrat. Ce que disent la CNIL et le RGPD, et comment remplacer ce réflexe par un outil encadré dans votre helpdesk.
Le 28 juin 2023, en une après-midi sur Slack, nous avons failli nous appeler stamin.ai, baanz.ai ou samour.ai avant que Nicolas propose Klark, « un peu comme Superman ». Trois ans plus tard, un client a appelé son agent Klark Loïs, comme dans Loïs et Clark.
Une demande d'annulation ou de changement d'adresse est une course contre l'entrepôt. Les règles à fixer, ce que l'IA peut traiter seule, les erreurs à éviter et les outils à comparer.