E-Commerce
Example scenario
500 support requests a day, 60% asking about order status
→ ~9,000 repeat questions a month
Classify, route and resolve requests coming from email, forms and messaging channels through defined workflows.
Core problem it solves
When requests arrive across several channels, tracking is manual — some are missed and response times become unpredictable.
The solution classifies incoming requests, prioritises them and assigns them to the right team. Standard steps run automatically, and approvals notify the responsible person. The customer is kept informed at every stage. Because all records live in one place, response times and bottlenecks become measurable.
Incoming messages are tagged automatically by topic, urgency and customer type.
Each request is assigned to the right team or person according to your rules.
For common requests a reply is drafted for the agent to review and send.
Received, in progress and resolved updates are sent to the customer automatically.
Transactions above defined thresholds are routed for authorisation.
Request volume, response time and team workload become reportable.
Requests from every channel land in one tracked flow.
Classification and routing happen without waiting for a human triage step.
Status updates reduce follow-up calls.
You can see exactly where time is spent in the process.
Email and form requests are classified and assigned automatically.
Return and exchange steps run through a defined flow with customer updates.
Quote requests are collected and advanced through approval steps.
Incoming requests are routed to the responsible region or category owner.
Current request flows, channels and ownership are documented together.
Classification, priority and routing rules are agreed.
Email, forms, CRM and support systems are wired into the flow.
We start with one process and widen the scope based on measured results.
Example scenario
500 support requests a day, 60% asking about order status
→ ~9,000 repeat questions a month
Example scenario
80 stores, 15 minutes of head-office correspondence each per day
→ ~400 hours a month
Example scenario
900 application files a month, 12 minutes of pre-check each
→ ~180 hours of file review a month
Example scenario
15 specialists, 4 hours a week searching documents and templates
→ ~3,100 hours a year
Example scenario
30 agents, 1,200 calls a day, 15% abandoned in the queue
→ ~3,600 abandoned calls a month
Example scenario
40 vehicles, 6 hours of driving a day, 10% off-route
→ ~7,200 wasted driving hours a year
Fill in the form and we will plan a demo around your needs.
Answer, route and record inbound and outbound calls with AI assistants that hold a natural conversation.
Give your teams fast, permission-aware access to internal knowledge with an assistant grounded in your own sources.
In a short call we listen to your needs and share the right solution and a deployment plan.