Data Panda brings your Richpanel data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Richpanel is a customer service platform built for ecommerce. It pulls email, live chat and social messages into one inbox, shows agents the customer's order context next to the conversation, and lets shoppers track orders, start returns and exchange items through a self-service portal. Conversations, customer profiles, macros, tags, custom fields, assignment rules and CSAT responses all live behind it, and its Sidekick AI drafts replies, answers repeat questions and handles two-way translation.
Inside Richpanel you see the queue. You do not see which products drive a third of the returns, which Klaviyo SMS campaign filled the inbox the next morning, or whether Sidekick's auto-replies actually closed the case or just delayed an agent. Put Richpanel conversations next to your Shopify orders, your refunds and your marketing data, and the support queue turns into one of the clearest reads you have on the catalogue and the customer.
Tickets, CSAT and Sidekick AI replies in the same picture as Shopify revenue, returns and refunds.
Let the rest of the stack react to what a Richpanel conversation already said about an order or a customer.
Use conversation history and Sidekick transcripts to group topics, score risk and audit auto-replies.
Internal tools on Richpanel data that merchandising and CX leads keep asking support to export by hand.
A list of concrete reports, automations and AI features we have built on Richpanel data. Pick the one that matches your situation.
Which products drive a third of our support and returns?
Conversation and return count per product against units sold over the last quarter, ranked. Surfaces the catalogue items whose support and refund cost outruns their margin, so merchandising and quality know which suppliers and product pages to revisit before the next order.
Is Sidekick actually closing cases or just delaying an agent?
Sidekick auto-replied conversations split by reopen rate, escalation rate and CSAT, by topic. Shows the conversations Sidekick technically handled but the customer reopened within a week, so the auto-reply rate stops flattering the real deflection rate.
How much of our ticket volume is the marketing calendar creating?
Inbox volume by day lined up against your Klaviyo and Mailchimp send dates, by campaign and segment. Names the sends that fill the queue the next morning, so CX staffing and the marketing calendar are planned against each other instead of in separate rooms.
Cost-to-serve per acquisition channel and per product, with refund value tied to supplier. Margin talks move from 'support is expensive' to 'these product lines lose money once tickets and returns are counted'.
Open complaints visible before a campaign goes out, and conversation history beside the customer's order value. Marketing stops emailing a customer mid-refund, and chat sessions get credited where they earned the order.
First-response, reopen rate and Sidekick quality on one board, with self-service deflection beside it. Staffing and AI-tuning calls are made on measured outcomes, not on the dashboards Richpanel ships out of the box.
Open Richpanel conversations, return cases and CSAT scores show up on the matching Shopify order and customer profile. Merchandising sees which products drive complaints in the same screen as the order, and ops sees which fulfilment cycles produced the most reopen tickets the week after.
Customers with an open complaint or a recent negative CSAT are held out of active Klaviyo campaigns and flows until the case closes. Marketing stops emailing a customer in the middle of a refund, and the win-back automation triggers on the right moment instead of the worst one.
When one product collects more than a threshold of damage, fit or quality conversations in a rolling week, a Slack alert lands in the merchandising channel with the order count, product and example tickets. Buyers act on the trend before the next purchase order ships.
Richpanel conversations, CSAT scores and tags push into HubSpot as timeline events on the matching contact. Marketing and CRM see the support history before an outreach, and segmentation can exclude customers in active complaint without a hand-built list.
Customers with a recent negative CSAT, an open return ticket or repeated complaints sync nightly into a Mailchimp audience used as a suppression list. Newsletters and promotions stop landing in the inbox of someone whose last conversation with the brand was about a missing order.
Richpanel conversations resolve against the WooCommerce order, customer and refund record in the warehouse. The product team works return reasons per SKU in their own queue, and finance sees refund value tied to the conversation that asked for it rather than a raw refund total.
You keep the reporting tool you already have. We connect it to the warehouse where your Richpanel data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Both are available. Metadata always lands: conversation ids, tags, channels, agents, CSAT scores and timestamps. Conversation text comes in when topic clustering, Sidekick AI audit or product-feedback work needs it, with PII redaction and retention agreed up front so customer messages only enter the warehouse under explicit controls.
Richpanel already shows the customer's order context next to the conversation, so the customer email and order reference travel with the ticket. We resolve that link in the warehouse, so one dimension joins conversation, order, return and customer cleanly, including the cases where one shopper bought through more than one email or as a guest.
We review your Richpanel setup and the systems around it. Together we pick the first thing worth building.