Datalab connects your webshop, accounting, stock and marketing data. We build dashboards that show your teams where revenue arises, which costs count and where stock or returns need attention. Start with one concrete question and expand with analyses, forecasts and automation. The foundation underneath: Datalab Retail Studio, for retailers, webshops and trade organisations.
Retail Studio is not a standalone dashboard, but a modular data foundation that lets teams access reliable data themselves. For analysis, reporting, forecasting, AI and day-to-day management.
Datalab Retail Studio brings data from commerce platforms, marketplaces, POS, ERP, accounting, marketing channels, PIM, WMS, fulfilment, transport, returns and workforce planning together in one manageable environment. In that environment we record definitions, access rights, data quality and reusable data models.
On top of that, you or we build applications per team: revenue and margin analyses for finance, stock control for purchasing, channel performance for commerce, lead times and fulfilment insight for operations, and predictive models for demand, stock or customer behaviour.
Five concrete application areas that can land on the same data foundation. You choose where to start; the rest can follow modularly later.
Combine accounting, ERP, webshop, POS, marketplace and cost information so finance and management no longer have to steer on separate exports. You see revenue, gross margin, return costs, fulfilment costs and channel contribution in context.
For both B2C and B2B, you get visibility of margin by product, brand, customer group, debtor, channel, region or sales representative. This makes commercial choices and budget discussions more factual.
Marketing data only becomes truly valuable when clicks, campaigns and ROAS sit alongside orders, stock, returns and margin. Then you see not only which campaign converts, but also which campaign grows profitably.
Direct-to-consumer teams can analyse customer behaviour and funnel performance; wholesale and trade teams can track sales development, customer value and assortment performance by customer or channel.
Purchasing teams get up-to-date insight into sales, margin, stock position, returns, seasonal patterns, sell-through (the share of purchased stock that has actually been sold) and open-to-buy (the purchasing budget still freely available). That helps them respond faster to consumer trends and depend less on gut feeling or outdated reports.
For B2B assortments too, it becomes clear which products, customer segments or contract agreements contribute to margin and where stock is unnecessarily tied up.
Bring together stock in your own warehouse, stores, fulfilment centres, marketplaces and in transit. Combine that with lead times, return flows, delivery performance and sales velocity to see faster where shortages, surpluses or margin leaks arise.
Retail Studio supports teams that have to balance availability, cashflow, service level and costs every day.
Forecasting, dynamic pricing, customer segmentation and AI workflows only become usable when definitions, access rights, sources and data quality are right. Retail Studio lays that foundation.
A realistic example: signalling abnormal return patterns. The input consists of orders and returns by product and channel. The signal flags products whose return rate falls outside the expected range. A buyer or e-commerce manager assesses the signal and decides on action; the outcome is fed back to validate and refine the signalling.
Anna + Nina sells through its own stores, the webshop and international retailers. Tracking sales, stock and returns in context was difficult: each source held part of the picture. Datalab built a data warehouse in which Shopify, Exact Online, Google Analytics and stock and operational systems are automatically refreshed and connected. Back-office staff use it to build analyses and dashboards themselves, without manual exports.
The case in brief
"Keeping sight of stock while taking returns into account is an absolute necessity for successful business. But at the same time it is a challenge with multiple physical locations and a large online channel. With data analytics it is possible."
"An abundance of data, sometimes contradicting each other, does not make it easy to keep a clear view of organisational performance. Which data is right and how do you combine it all simply into effective management information? Unlocking all your data sources in one place is the short answer."
Not every retailer has the same capacity, ambition or internal data expertise. Organisations without their own data team have Datalab build and manage the complete result; organisations with their own analysts choose co-building or just the data platform.
Datalab guides the whole process: selecting use cases, unlocking sources, building dashboards and analyses, bringing users along and continuing development. You assess goals, definitions and results and organise day-to-day use.
We build the foundation and first applications together with key users from finance, purchasing, commerce and operations. You provide source knowledge and users; knowledge grows in your organisation while the first results become visible.
Datalab provides the platform, connectors, data models and manageable tools, with documentation and handover. Your own data, finance or BI team continues to build dashboards, analyses, forecasts and adoption.
From one concrete retail question to a platform that can grow with finance, commerce, purchasing and operations.
Together we choose a valuable first application - for example margin by channel, stock availability, marketing contribution or a sales dashboard for wholesale - and determine who will use the result.
Resultaat: a sharp scope.
We map systems, exports, APIs, definitions, access rights and data quality. Think of webshop, marketplace, ERP, finance, POS, WMS, PIM, marketing, fulfilment and transport.
Resultaat: a view of feasibility.
We set up connectors, data models, access rights and quality controls in a reusable way and deliver the first dashboards or datasets in working order.
Resultaat: a working first result.
Users are trained, the platform is managed and new applications follow modularly - in the division of roles that suits your organisation.
Resultaat: a solution that grows with you.
A selection of the systems we unlock for retailers. Is your package missing? We'll investigate the options for a connection.
+ Amazon, Lightspeed eCom and other platforms
Orders, returns and channel performance: the basis for revenue and channel analyses.
+ WMS, transport and fulfilment providers
Stock positions, lead times and return flows alongside sales velocity.
+ AFAS, Microsoft Dynamics and other systems
Costs, margin and cashflow connected to sales and stock data.
+ Google Analytics, Meta, Klaviyo and other channels
Campaigns and funnels assessed on revenue, margin and returns instead of clicks alone.
Datalab is a partner of
Practical answers about getting started, data sources, B2C and B2B, dashboards, analyses and collaboration.
That is what a channel analysis makes visible: sales, returns and attributable costs per channel side by side, over an agreed period. We record which costs are included and which data is still missing, so the term contribution or margin has a clear definition. Such an analysis shows which channel grows profitably - not just which channel generates revenue.
Yes, also! Retail Studio fits direct-to-consumer webshops, physical stores, omnichannel retailers, wholesalers, brands and trade organisations. The core idea is that sales, margin, stock, customer, channel and operational data becomes analysable in one reliable place.
Yes. That is an important goal. We set up datasets, access rights, definitions and documentation so teams can analyse reliably in Power BI, Tableau, SQL, Python, R or other analysis tools. Also see our Dashboards & BI service.
Think of Shopify, WooCommerce, bol.com, Amazon, Lightspeed, Picqer, Returnless, Exact, AFAS, Microsoft Dynamics, PIM systems, WMS, fulfilment providers, carriers, Google Analytics, Google Ads, Meta, Klaviyo and custom sources. View all sources we have already unlocked in the source catalogue, or discuss your system in a call.
Finance gets up-to-date control over revenue, gross margin, costs, returns, stock value, cashflow and channel contribution. This makes discussions with management, commerce, purchasing and operations more concrete and less dependent on separate spreadsheets.
Purchasing and operations can steer better on stock position, sell-through, returns, lead times, open-to-buy and fulfilment performance. That helps them see shortages, surpluses, delayed deliveries and margin leaks faster.
Yes. That combination is exactly what makes marketing data more valuable. Campaigns are then assessed not only on clicks, conversions or ROAS, but also on revenue, margin, returns, stock availability and customer value. Also read Unlocking Google Ads performance data.
Yes. For B2B and wholesale we look, for example, at revenue and margin by customer, sales representative, price list, contract, region, product group or delivery agreement. Retail Studio can also combine sales portals, ERP, CRM, stock and finance.
No. We start with a concrete use case and build further modularly. A first step can be one source, one dashboard, one dataset or one analysis. Once the value is clear, we expand with extra sources, data models, dashboards or forecasts.
Yes. Datalab can provide only the technical foundation, connectors and tooling. We can also build together with your team or guide the full trajectory, including adoption and further development. For the technical foundation this aligns with data warehouse setup.
By explicitly recording definitions, data models and source logic. What counts as revenue? How do we process returns, discounts, shipping costs, fulfilment costs and intercompany flows? Retail Studio makes those choices reusable so teams steer on the same figures.
Yes, provided the data foundation is right. We can help with demand forecasting, stock or margin forecasts, customer segmentation, anomaly detection, dynamic pricing or AI workflows. This aligns with our Analytics & AI service.
We can start small, for example with one source and one analysis, and expand from there. Datalab works with a fixed amount that includes connectors, platform, dashboards and management; licences (such as Power BI) and consumption costs are separate. In a no-obligation conversation we discuss what fits your situation. Schedule a call.
In a no-obligation conversation we discuss which margin or stock question currently costs you time, which sources are needed and what a suitable first assignment looks like - including an indication of lead time and costs.
Discuss your retail question