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Services / Chatbots / Customer service

Customer support chatbot

It absorbs 70% of repetitive requests.

Your agents finally handle the cases that deserve a human.

The problem

Customer service is expensive. An agent costs €30 to €50 per hour fully loaded, often to answer the same questions: order tracking, return, refund, routine complaint.

The result: queues, impatient customers, agents worn out from repeating the same lines.

A well-built support chatbot absorbs 60 to 80% of repetitive requests, at conversation pace, and leaves humans with the cases that truly deserve to be handled.

How it works
Step 01

Mapping

Top 20 contact reasons, existing answers and procedures.

Step 02

Plugging in

CRM (Zendesk, HubSpot, Salesforce), order base, logistics tracking.

Step 03

Smooth escalation

As soon as the bot doubts or the customer insists, hand-off to a human with full context.

Step 04

Learning

Hard cases are surfaced and used to enrich the bot week after week.

Three variants

Same service, three profiles, three stacks

Fashion e-commerce · 200k orders/year

Returns, exchanges, tracking, refunds. 80% of requests are the same all year long.

GorgiasOpenAI AssistantsShopifyStripe
Result

72% of tickets resolved without a human. Average response time from 18 h to 45 seconds.

B2C subscription box

Monthly box, cancellations, address changes, delivery pauses.

BotpressClaude 4.7AirtableStripe
Result

60% of actions (pause, resume, cancel) handled by the bot. Humans take billing edge cases.

Home appliance manufacturer

First-line support: faults, warranty, spare parts, remote repair guidance.

DifyClaude 4.7pgvectorSAP
Result

First-contact resolution: 40% → 75%. 30% of repairs guided without sending a technician.

What it changes
  • Instant response, 24/7.
  • Agents focus on cases that justify their expertise: less burnout, better retention.
  • Full history handed to the human on escalation: zero repetition for the customer.
  • Measurable savings: ROI calculated per ticket processed.