Dutch platform🛡️ GDPR-compliant🤝 Retain human control ISO 27001 certified ISO 9001 certified
Integration
Channeldock
ChannelDock centralises your orders. NexReply turns them into customer communication.
If you use ChannelDock, your order and marketplace data are already well organised. But when customers ask questions, you still have to translate that information into answers manually. NexReply takes over. It reads customer questions, retrieves data from ChannelDock and your fulfilment stack, and turns it directly into an accurate reply. No manual searching. No disconnected tools. No standard replies.
A customer asks: "Where is my order?" Instead of your team opening ChannelDock and checking multiple systems, NexReply does this automatically:
1
Match the message
Links the customer to the correct order through ChannelDock
2
Retrieve data
Retrieves order status and payment information
3
Check status
Checks fulfilment status and shipping information
4
Analyse updates
Analyses tracking information and carrier updates
5
Identify discrepancies
Recognises discrepancies such as delays or partial deliveries
6
Generate response
Generates a reply that reflects the current situation
All based on the same data your operations use.
Customer communication based on your complete order flow
Think of situations such as:
ChannelDock brings your channels and orders together. NexReply uses that central layer to handle customer questions accurately.
Orders and channels
Orders through bol.com, Shopify or other channels
Fulfilment routes
Different fulfilment routes perfectly aligned
Partial deliveries
Partial deliveries and backorders mapped in real time
Returns & Refunds
Returns and refunds processed immediately
Channel discrepancies
Discrepancies between channels and systems resolved
NexReply ensures that complexity doesn't land on your support team.
The difference
Not a chatbot. Infrastructure on top of ChannelDock.
ChannelDock centralises data. NexReply makes it useful for communication.
A chatbot responds to text
• Tries to match sentences without genuine context.
• Doesn't know the current shipping or fulfilment status.
• Often still refers customers to a human team member.
NexReply responds using your order and fulfilment data
• Retrieves real-time order and fulfilment data from your systems.
• Immediately provides an accurate, personalised and useful answer.
• Resolves 80% of standard e-commerce questions immediately and accurately.
This prevents errors, inconsistencies and unnecessary follow-ups.
Use Cases
Typical questions you can automate with ChannelDock + NexReply
Where is my order?
Using ChannelDock data and shipping information.
My order hasn't shipped yet
Based on fulfilment status and processing.
Returns and refunds
Status from your order and returns data.
I received an incomplete product
Insight into partial deliveries and order structure.
Ecosystem
Works with your entire stack
ChannelDock is the central layer. NexReply ensures that data is used in your customer communication.
1
Channeldock
For order and channel data
2
Shopify & bol.com
And marketplaces
3
WMS / operations
Fulfilment partners and WMS
4
Shipping and tracking
Shipping software and carriers
5
Helpdesk
Zendesk or customer service
NexReply connects these systems and turns them into one consistent communication flow.
A real-world example
Featured case study
"An e-commerce business sells through Shopify and bol.com, using ChannelDock to centralise orders. Support questions arrive by email and through marketplaces. Without NexReply, the team has to open ChannelDock, Shopify and shipping tools to provide an answer. With NexReply, the question is automatically linked to the correct order, data is retrieved, and the reply is generated or handled immediately."
The result: less manual work, fewer errors and a scalable support operation.
ECOSYSTEM
Works with your existing stack
NexReply is not a replacement for your helpdesk or e-commerce tools, but the connecting factor between them.
PostNL
Connect directly to the Netherlands' largest delivery company for real-time parcel updates.
Dutch platform
