Customer service that works even at high inquiry volumes.
Standard questions are answered around the clock – the team focuses on cases that really need attention.
Illustrative example: This scenario shows a possible implementation. It does not describe a specific client project.
Starting point
An online shop for home accessories sells via its own store and marketplaces. Every day the service team answers questions by email, contact form and chat: Where is my order? How do returns work? Is the item back in stock?
During promotions and around holidays the volume rises sharply. Replies are delayed, and there is little time left for advice-heavy questions or complaints.
The challenges so far
The same questions
A large share of inquiries concern delivery status, returns and payment options.
Seasonal peaks
During promotions the inbox grows faster than the team can reply.
Switching systems
One reply requires opening the shop, carrier and inventory system.
No service after hours
Customers get no answer in the evening or at weekends.
The possible AI and automation solution
An AI assistant is deployed in the shop, the contact form and the email inbox. It draws on approved knowledge sources such as FAQs, shipping and return policies and – after verifying the customer – can look up order status. When it detects a complaint, uncertainty or a request for personal contact, it hands the conversation to the service team with a summary.
- Answers based on the shop's own policies and product data
- Order and shipping status lookup via APIs
- Automatic detection of complaints and sensitive topics
- Handover to the team including a conversation summary
- Ongoing improvement based on unanswered questions
// What
What the automated workflow could look like
Step by step – from input to result.
- 01
Customer asks
Via chat, form or email – at any time of day.
- 02
Identify intent
The AI classifies: delivery, return, product, complaint.
- 03
Fetch data
Order status or product info is loaded from shop and carrier.
- 04
Answer
Standard questions are answered directly in the brand's tone.
- 05
Handover
Complex cases go to the service team with a summary.
- 06
Learn
Open questions feed into the knowledge base.
Before/after comparison
Before
- Inbox grows during promotions
- Same answers rewritten again and again
- Several systems per inquiry
- No replies at weekends
- Little time for complaints
After
- Standard questions answered instantly
- Consistent answers based on policies
- Data fetched automatically
- Available around the clock
- Team focuses on demanding cases
Potential benefits
Qualitative assessment – the actual value depends on your workflows.
Faster answers
Customers get standard answers without waiting.
Relieved team
More time for advice, complaints and loyal customers.
Consistent quality
Answers always follow current shop policies.
Scalability
Volume peaks are easier to absorb.
Where people still decide
Complaints, goodwill decisions, refunds and emotional issues are deliberately handed to staff. Customers can request a human at any time. New answers on sensitive topics are reviewed by the team before release.
Possible technical integrations
Example systems – the selection depends on your existing software.
- Shopify
- Shopware
- WooCommerce
- Zendesk
- Freshdesk
- Gorgias
- DHL / DPD tracking
- WhatsApp Business
Related services
FAQ on this scenario
Does the AI assistant make up answers?
The assistant is configured to use approved sources only. If it finds no reliable answer, it says so and hands over to the team – instead of guessing.
What about privacy for order data?
Order data is only retrieved after verification, e.g. order number and email. We focus on data minimisation, suitable providers and GDPR requirements.
Does this work for marketplace messages too?
Depending on the marketplace and available API, messages can be included in the same workflow. We check each platform individually.
Discover the automation potential of your customer service.
The AI potential check shows which service inquiries could be automated in your business.
