Data Panda brings your Akeneo product 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.
Akeneo was founded in 2013 in Nantes by a team that had built open-source ecommerce plumbing at Smile. The core promise has been the same since: one place for product information, with localisation, channel-specific variants and asset attachments built into the model. The Community Edition kept the open-source heritage alive, while the Enterprise and Growth tiers turned into the commercial product now used by brands like Fossil, Auchan, Rexel, Jaguar Land Rover and Tiffany & Co. Summit Partners took a majority stake in 2021 and led a $135M Series D in 2022.
The reason product teams invest in a PIM in the first place is that product data gets copied everywhere. The ecommerce platform has one version, the marketplace another, the B2B catalogue a third, and the print spec sheet a fourth. Akeneo is meant to be the one that's right, with families, attributes, product models and variant axes that downstream channels pull from. The interesting question in a warehouse is not what's inside Akeneo. It's whether Shopify, Magento, the ad feed and the ERP still match it.
Completeness, enrichment lead time and channel coverage beyond what the Akeneo dashboard shows.
Keep the downstream channels in step with what Akeneo already decided.
Use the structured attribute history to enrich, translate and classify faster.
Small tools on top of Akeneo for people who should not need a PIM licence.
A list of concrete reports, automations and AI features we have built on Akeneo data. Pick the one that matches your situation.
Are our products complete enough to launch on each channel?
Completeness is calculated per channel and per locale against the required attribute set in each family. The report shows which SKUs are blocking a channel launch and which attribute group is responsible, so the work that unblocks revenue is visible instead of hidden in the PIM workbench.
Where does our live catalogue drift from Akeneo?
Akeneo product data is joined with Shopify, Magento, marketplaces and ad feeds in the warehouse. Name, price, image and copy differences are flagged per SKU, so the shop that still shows a product name changed three months ago stops being a customer-service problem before it becomes one.
How long does it really take us to get a new product live?
Created-in-Akeneo timestamp to live-on-channel timestamp, broken down by product line, team and family. Shows which step of the enrichment cycle runs slow, rather than a gut feeling about marketing versus merchandising.
Product data accuracy is a working-capital story. SKUs that can't launch because a spec attribute is missing are inventory sitting on the shelf. Completeness and enrichment lead time become numbers the CFO sees alongside margin.
Merchandisers see which product lines are ready for which channel, and which still need copy, images or translation. The weekly planning conversation moves from a shared spreadsheet to a dashboard with one source.
Product managers and ecommerce leads get a single view of catalogue drift across Shopify, Magento, marketplaces and ad feeds. The tickets raised against downstream shops are grounded in actual Akeneo-vs-channel diffs, not anecdote.
Akeneo products, product models and variants flow into Shopify with channel-specific attributes, locale copy and asset links in place. When a merchandiser fixes a spec in Akeneo, the change reaches Shopify without a nightly CSV job, and the warehouse keeps a record of which shop saw which version when.
Products, attributes and categories from Akeneo land in Magento with the configurable-product structure mapped to Akeneo product models and variant axes. Drift between Magento and Akeneo shows up as a warehouse report instead of a customer noticing a wrong price on a product page.
Akeneo product identifiers, family membership and reference attributes are matched against Odoo item records. New Akeneo SKUs create Odoo items with the right product category, and reference changes in Akeneo reconcile back to the Odoo master, so the ERP does not drift off the PIM over the year.
Akeneo product data, category mapping and channel-specific attributes drive the Google Merchant feed directly, with GTIN, brand, availability and localised titles built from the PIM. Feed rejections in Merchant Center trace back to the exact Akeneo attribute that caused them, so the fix lives with the product team, not the ads team.
You keep the reporting tool you already have. We connect it to the warehouse where your Akeneo 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 Akeneo's REST API and pull the standard objects Akeneo documents: products, product models, attributes, attribute groups, families, family variants, categories, channels, locales, associations and assets. Incremental pulls use the updated-since filter on products and product models, so we are not re-reading the full catalogue each run.
Yes. Each attribute value is stored with its channel scope and locale, so a product has one warehouse row per channel-locale combination where the attribute applies. Reports can filter on a given channel, a given locale, or compare the two to see which translations or channel overrides are missing.
Both. Cloud Enterprise and Growth tenants are the primary path through the standard REST API. Self-hosted Community installations are supported against the same API surface, with a read account and network access to the instance. The object model is identical across tiers, so the warehouse schema does not change.
We review your Akeneo setup and the systems around it. Together we pick the first thing worth building.