Data Panda brings your Monta 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.
Monta was founded in 1999 and is headquartered in Bleskensgraaf in the Netherlands, with twenty-plus fulfilment centres across the Netherlands, Germany, France and the UK. It handles pick, pack, ship and returns for over three thousand webshops, on top of its own MontaWMS, MontaShip and MontaPortal stack, with more than fifty carriers plugged in (PostNL, DPD, DHL, GLS, bpost and the rest).
The reason to pull Monta into a warehouse is that the Monta portal answers operational questions on its own terms, while finance, marketing and merchandising ask them in the order grain. Order-to-ship time, pick accuracy, per-SKU return reason and per-warehouse cost line land next to Shopify orders, SendCloud shipments and the Exact Online ledger. Fulfilment stops being a black box between the webshop and the customer, and becomes a column in the margin spreadsheet.
Cost per order, pick accuracy and return reason next to the order they belong to.
Keep the webshop, the ERP and Monta in sync without anyone copying a file.
Use Monta history to predict stock-outs and flag returning SKUs early.
Tools for the people who move stock and money, built on the same Monta feed.
A list of concrete reports, automations and AI features we have built on Monta data. Pick the one that matches your situation.
Which SKUs are paying more in fulfilment than they earn?
Pick-and-pack plus carrier cost per SKU against contribution after discount and return. Ranks the SKUs where the fulfilment line alone turns the product unprofitable, by channel and by warehouse.
Where does the order-to-ship clock slow down?
Hours from order creation to label scan, split by SKU, warehouse, order size and cut-off window. Shows the products that reliably miss the next-day cut-off and the warehouses where shift staffing is the actual bottleneck.
Which return reasons are really a product problem?
Return-reason codes (size, defect, damaged, changed mind) per SKU over rolling twelve weeks, against first-return rate. Separates the SKUs with a sizing or quality issue from the ones people just change their mind on.
Fulfilment cost tied to the order it belongs to. The 3PL invoice stops being a single monthly figure and becomes cost per SKU, per warehouse and per channel, feeding straight into the margin conversation.
Stock on hand by warehouse and sell-through per SKU in the same view. Merchandising promotes the items that reliably ship on time and holds back on the ones sliding toward a stock-out.
Order-to-ship, pick accuracy and return-reason codes per warehouse and shift. Operations negotiates with Monta and with suppliers on the same data the 3PL bills on, not on a quarterly PDF.
Shopify orders flow into Monta with the right SKU mapping, and Monta stock levels push back into Shopify every few minutes. Order status, tracking and returns are reflected on the Shopify order record, so customer service never opens the Monta portal for a status lookup.
Monta shipments tie back to SendCloud shipping records on tracking number, so the carrier cost on the SendCloud invoice lines up with the Monta pick-and-pack cost on the same order. The fulfilment line on the P&L is finally one number with two sides, not two systems to reconcile by hand.
Monta invoices, inbound handling and return-processing costs post in Exact Online against the right cost centre and VAT code. The fulfilment line on the ledger reflects the real per-order cost from MontaWMS, with an audit trail straight back to the orders it covers.
WooCommerce orders drop into Monta with the right SKU, carrier rule and customs paperwork for non-EU destinations. Stock updates and tracking flow back to the WooCommerce order record in one direction, so the webshop, the pick bench and the customer see the same status.
These are the 8 tables we currently pull from Monta into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Monta 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.
Yes. Monta ships out of more than twenty fulfilment centres across the Netherlands, Germany, France and the UK, and each order, pick, inbound and return is tagged with its warehouse. Cost per order, SLA and stock on hand all break out per site, so group reporting works at the same grain the operations team works on.
Returns from Monta carry the reason code the warehouse logs when the parcel comes back (size, defect, damaged, changed mind and the rest), tied to the original order and SKU. That makes return rate analysable per product family, per carrier and per destination, instead of as a single KPI on a monthly summary.
We review your Monta setup and the systems around it. Together we pick the first thing worth building.