Webbit
Protect margin without leaving customers waiting.
As order volume grows, repetitive support and admin grow with it. We connect store, helpdesk and messaging tools so routine questions are answered, exceptions reach the right person and customer context travels with every handoff.
Who it is for: Growing direct-to-consumer and wholesale brands where support volume, returns or manual order admin is absorbing team time.
Problems we see
- Where is my order?: Agents repeatedly check the same order status while customers wait for an answer.
- Returns follow inconsistent rules: Customers receive different guidance depending on who handles the ticket and how they ask.
- Support lacks order context: Tickets arrive without the order, product or customer history needed to resolve them.
- Back-office updates are manual: Orders, supplier documents and stock changes require repeated entry across systems.
Example workflows
Order status and delivery support
Starts when: A customer asks about an order in chat or email.
- Verify the customer and relevant order.
- Retrieve permitted fulfilment status.
- Answer with the current status and next step.
- Create a ticket or escalate when the status is exceptional.
A person decides: Lost parcels, refunds and complaints route to a support owner.
Result: Routine status questions are resolved with less manual lookup and better context.
Returns triage
Starts when: A customer starts a return request.
- Check the order against the returns policy.
- Collect reason and item condition details.
- Route to the appropriate resolution path.
- Send instructions and update the ticket.
A person decides: Exceptions and goodwill decisions remain with the support lead.
Result: Customers get consistent guidance while exceptions are visible to the team.
Supplier document processing
Starts when: A supplier sends an invoice or product sheet.
- Classify the document.
- Extract agreed fields.
- Flag discrepancies and missing details.
- Route to finance or merchandising.
A person decides: Finance and buying teams approve changes.
Result: Recurring back-office entry is reduced and exceptions are surfaced earlier.
What changes
- Faster handling of routine pre-sale and post-sale questions.
- More consistent returns guidance across channels.
- Better support context attached to each escalated ticket.
- Less manual re-entry between store, helpdesk and finance.
Works with
- Shopify and other commerce platforms
- Helpdesk and ticketing tools
- Messaging and chat platforms
- 3PL and fulfilment data
- Accounting and ERP systems
- CRM and reviews platforms
Honest limits
- Product, stock and order data must be accurate before automation can answer reliably.
- Refunds, fraud and high-value disputes should retain a human decision point.
- Channel message rules and template approvals can affect WhatsApp and messaging workflows.
Questions
Can it reduce support tickets?
It can resolve or qualify repetitive requests before they reach an agent. The effect depends on question mix, data quality and how well the assistant is scoped.
Can it handle refunds?
We generally keep refund approval with your team unless you have a clear, reviewed rule set and platform support. The safer first scope is collecting details and routing the request.
Can it work across chat, email and WhatsApp?
Often, when the platforms provide usable APIs and your policies allow it. Each channel adds setup and testing, so we normally start with the highest-volume one.
How do you protect customer data?
We limit the data passed to the assistant, use your existing accounts where possible and define retention and access rules with your team.
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