Richpanel is a customer-support platform with a shared helpdesk, automation, and customer self-service. For an ecommerce team, the useful evaluation question is which of your real conversations and order actions it can handle with the information and controls your business requires.
Key takeaways
- Verify the channels and integrations your team actually uses.
- Distinguish an agent-assistance feature from an action a customer can complete independently.
- Test exceptions and handoff, not just the simplest demo conversation.
- Compare the complete cost and operating workflow with alternatives before committing.
What the product covers
Shared conversations and customer context
Richpanel's product overview describes an inbox spanning email, chat, SMS, social channels, and connected phone tools. It also describes order and subscription context available alongside conversations, assignment rules, and reporting. Confirm the specific channel connections, account permissions, and plan requirements for your setup.
Customer self-service
Its self-service portal describes order tracking, eligible order changes, and connected subscription actions. Returns and exchanges are offered as a separate paid add-on. Requests outside the configured rules can move to a person with their context retained.
That distinction matters when comparing tools: displaying an article, showing an order status, and completing an order change are different outcomes. Ask the vendor to demonstrate the particular outcome you need.
Connected systems
The integration directory lists connections including Shopify, Recharge, Loop, and AfterShip. A listing is a starting point for evaluation. Confirm which information the connection reads, which actions it writes, and what happens when a connected service cannot complete an action.
Run a representative trial
Choose a small set of conversations from your normal queue, using test data where possible:
- A customer asking about one shipment in a split order.
- An address-change request after fulfillment has started.
- A return request that fits your policy and one that needs an exception.
- A subscription question that requires a connected system.
- A customer who wants to speak with a person.
For each case, record the information available to the agent, any manual lookup required, the action taken, and the final message. Check that a failed action is not presented to the customer as a success.
Prepare the team and policy rules
Before rollout, write down who owns the queue, which actions require approval, and how agents should handle missing information. Include these procedures in agent training and onboarding.
Have the team practice transfers between automation and people. The receiving agent should understand what has already been attempted, what the customer was told, and which decision remains open. Review a sample of resolved cases after launch rather than measuring adoption only by whether agents logged in.
Compare costs and outcomes
Request a quote that includes the seats, channels, automation usage, add-ons, migration support, and integrations needed for your trial. Ask how changes in volume or staffing affect that quote. Treat published case-study results as the results of those deployments, not a forecast for your store.
Track response and resolution measures, reopened cases, manual corrections, and cost per resolved conversation. Use the same definition of “resolved” across the tools you compare.
Evaluate the fit for your store
Include Chad in the comparison using the same scenarios and success criteria. Review available integrations, the actions you need to automate, and the cases your team should retain. A useful selection process ends with evidence from your workflows and a clear operating plan, rather than a generic promise of higher sales.
