Data Panda brings your Plytix product and asset 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.
Plytix was founded in Copenhagen in 2014 by Morten Hellesoe Poulsen and Stian Jone Iversen, and grew from a product analytics tool into a PIM and DAM aimed squarely at small and mid-sized ecommerce brands. The headquarters moved to Malaga over the years, with the Copenhagen office still active and a US presence in Minneapolis. SEED Capital led an early round in 2015 and the company has raised roughly 12 million dollars over a handful of rounds since.
The positioning is the point. Akeneo and Pimcore are the platforms a 2,000-SKU shoe brand looks at and quietly puts back on the shelf. Plytix is the one that brand really buys: a Standard plan at zero monthly cost up to 500 SKUs, a Pro plan around 500 dollars a month at 50,000 SKUs, unlimited seats on every tier, and the company line that it sits roughly 60 percent below the bigger PIM vendors. The shop running on Shopify with three people in marketing and one in operations is the buyer.
Product scope follows the buyer. PIM with attributes, families and variants, a DAM for product imagery and video, channel-ready feeds for Shopify, BigCommerce, WooCommerce, Magento, Amazon, eBay, Google Shopping, Meta and around thirty more, brand portals for retailer onboarding, and product sheets that print to PDF. There is an AI Content Studio for description drafting and image cleanup, billed on a credit pool. The interesting question for a Plytix tenant in the warehouse is not what is inside Plytix. It is whether the Shopify store, the Amazon listing and the Meta catalog still match it, and which assets are pulling their weight.
Completeness and drift between Plytix and each Shopify, marketplace and ad-feed channel.
Keep the channels and the DAM in step with what Plytix already decided.
Use the Plytix attribute and asset history to enrich, tag and translate faster.
Small tools on top of Plytix for people who should not need a PIM seat.
A list of concrete reports, automations and AI features we have built on Plytix data. Pick the one that matches your situation.
Are our products complete enough to publish to every channel today?
Completeness is calculated per channel against the required attribute set in Plytix, with a join on the channel-feed mapping the brand has set up. The report shows which SKUs are blocking a Shopify, Amazon, Meta or Google publish and which attribute group is responsible, so the work that unblocks a listing is visible instead of buried in the Plytix workbench.
Which DAM assets are pulling their weight, and which are dead storage?
DAM file references are joined with the SKUs, categories and channel feeds that point at them. Files no SKU references show up as a cleanup list. Files used heavily on a few hero products show up as a reuse list. The brand can decide what is worth keeping inside the credit and storage envelope of the current plan.
Are we still on the right Plytix plan, or have we outgrown the free tier?
SKU count over time, AI Content Studio credit burn and seat activity are tracked against the Standard-tier ceiling of 500 SKUs and the monthly credit pool. The report flags the month a brand will likely cross into the Pro tier, so the upgrade conversation starts before the workflow blocks on the cap.
Channel readiness is a revenue story for a small ecommerce brand. SKUs that cannot publish on Amazon or Meta because a GTIN or attribute is missing are inventory waiting for traffic. Completeness, AI-credit burn and the cost of the next Plytix tier sit in the same monthly review as inventory turn and ad spend.
Merchandisers see which product lines are ready for which channel, and which still need copy, image or translation work. The weekly drop planning moves from the Plytix admin list to a dashboard that also knows what Shopify, Amazon and Meta are showing right now.
The ecommerce lead and the DAM owner get one view of channel drift across Shopify, BigCommerce, WooCommerce, marketplaces and ad feeds. Asset orphans, free-tier headroom and feed rejections are worked off a single queue instead of three browser tabs.
Plytix products, variants and DAM images flow into Shopify with the right channel attributes, locale copy and image references in place. When the merchandiser fixes a description or swaps a hero image in Plytix, the change reaches Shopify without a manual export, and the warehouse keeps a record of which version of the product the storefront showed when.
Plytix products, options and image sets land in BigCommerce with the right category mapping and channel-specific attributes. Drift between BigCommerce and Plytix shows up as a warehouse report, so the brand sees a wrong price or a missing image before a customer does.
Plytix master data, variant attributes and DAM media are pushed into WooCommerce so the WordPress shop reflects the PIM the moment a change is saved. The warehouse tracks which products are out of sync and which categories are blocking a publish, so the WooCommerce admin is not the place where drift is discovered.
Plytix attributes, categories and DAM hero images are joined with the Klaviyo product catalog through the warehouse, so back-in-stock, browse-abandon and price-drop flows fire on the same product record marketing already approved in Plytix. Personalisation tokens reference the canonical name and image, not whatever copy a flow template was last edited with.
These are the 5 tables we currently pull from Plytix 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 Plytix 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.
We connect to the Plytix REST API with an API key created under Profile, Settings, API. The connector reads the standard Plytix objects: products, attributes, categories, families, variants, assets and channel feeds. Incremental pulls use the modification timestamp on products and assets, so we are not re-reading the full catalog each run. Plytix returns 429 when a rate limit is hit, and the connector backs off and retries.
Yes. Asset records carry the same Plytix product references the PIM uses, so the warehouse can answer asset-coverage and asset-orphan questions per SKU, per category and per channel feed. The DAM is not a separate silo in the schema.
Yes. The Plytix REST API is available across all paid tiers, including the Standard plan at zero monthly cost. The warehouse schema is the same across tiers. What changes between plans is the SKU ceiling and the AI credit pool, which are themselves visible in the warehouse so a brand can see when the next tier becomes the right call.
We review your Plytix setup and the systems around it. Together we pick the first thing worth building.