Retail moves fast. Retail Studio makes data from webshops, marketplaces, ERP, POS, finance, marketing, stock, logistics and fulfilment analysable in one reliable place. Finance, purchasing, commerce, operations and management can then steer more sharply on sales, margin, stock and consumer trends.
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, open-to-buy and 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 and open-to-buy. That helps them respond faster to consumer trends and depend less on gut feeling or outdated reports.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.
Think of signals for out-of-stock risk, declining margin, abnormal return percentages, changing buying behaviour or campaigns that generate plenty of revenue but little contribution.
The value of Retail Studio lies in connection: sales data alongside finance, stock, marketing and operations. The former Retail Studio cases show exactly why retailers want to unlock their data sources in one place.
What these cases show
"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."
"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."
Not every retailer has the same capacity, ambition or internal data expertise. That is why we align our role with what you need: from technical building blocks to full guidance.
Datalab provides the platform, connectors, data models and manageable tools. Your own data, finance or BI team continues to build dashboards, analyses, forecasts and adoption.
We build the foundation and first applications together with key users from finance, purchasing, commerce and operations, so knowledge grows in your organisation while the first results become visible.
Datalab can guide the whole process: selecting use cases, unlocking sources, building dashboards and analyses, bringing users along and continuing development.
From one concrete retail question to a platform that can grow with finance, commerce, purchasing and operations.
Together we choose one or a handful of valuable use cases, for example margin by channel, OTB insight, marketing contribution, stock availability 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, so teams get not only dashboards but also reliable datasets for their own analysis.
Resultaat: an analysable data foundation.
After step 3, the route splits
Your team takes over the development of dashboards, analyses, reports or forecasts. Datalab remains responsible for the data warehouse, source connectors and platform. We train employees and remain available for review and deeper work.
We build dashboards, analyses, alerts and models for you. Teams receive training in day-to-day use, while Datalab can handle management and further development.
In practice, many retailers choose a mix: Datalab might build the data foundation and a number of core analyses, while finance, commerce or operations develop other reports and deeper analyses themselves.
Retail Studio uses the Datalab Studio source catalogue: commerce platforms, marketplaces, finance, ERP, marketing, logistics, WMS, stock, HR and custom sources can all become part of the same analysis foundation. Is your system not listed? Then we look at the API, database, export options or a custom connector.
AFAS is a broad ERP platform for finance, HR, payroll, projects and business processes. Because several departments work in the same system, AFAS data is often a rich source for management information.
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Akeneo is a PIM platform for product information. Teams use it to manage product data, attributes, classifications and content centrally before publishing to webshops, marketplaces or other channels.
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Amazon is an important sales channel and marketplace for many sellers. Its data covers not only orders, but also listings, performance, stock, fees and customer interaction.
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Basecone digitises invoice and booking document processing. For finance teams and accountants, it contains valuable information about document flows, processing statuses and administrations.
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bol.com is an important marketplace channel for many retailers and brands. Orders, listings, delivery performance, returns and channel statistics provide insight into commercial performance.
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bpost is a logistics source for shipments, delivery and parcel statuses. For webshops and operations teams, this data is important for tracking delivery times and service quality.
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Budbee is a delivery and last-mile source for e-commerce logistics. Its data centres on shipments, delivery windows, statuses and customer-focused fulfilment.
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CBS provides official statistical datasets about the Netherlands, from tabular figures and indicators to more complex geographic data.
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Channable is used to manage product feeds, marketplace channels and advertising feeds from one environment.
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Chargebee supports subscription billing, recurring revenue and subscription management. Its data is valuable for revenue recognition, churn, invoicing, contracts and customer value.
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commercetools is a headless commerce platform for organisations that want to configure commerce flexibly through APIs. Products, carts, orders, customers and channel processes generate a lot of data.
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CreditDevice supports credit management, debtor management and risk assessment. Its data helps finance teams better understand payment behaviour, credit risks and follow-up.
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Not every valuable source has a familiar SaaS name. Crucial data often lives in an internal database, custom application, export folder or source-system API.
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Daywize supports HR processes, absence management, personnel administration and workforce-related information. Its data is important for reporting on employees, availability and organisational processes.
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DeliveryMatch supports shipping choice, delivery management and fulfilment processes for e-commerce. Its data says something about carriers, delivery options, shipments and service choices.
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Delogue is used in fashion and product development to manage collections, suppliers, materials and product communication. This makes it a valuable source of product and supply-chain information.
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DHL Pakket contains data about shipments, labels, tracking and delivery statuses. For webshops and operations teams, this information is essential for tracking delivery reliability and costs.
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DPD is a logistics source for parcel delivery, tracking and delivery statuses. Its data helps make shipping performance, lead times and exceptions visible.
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Dyflexis supports staff scheduling, time registration and workforce management. For organisations with rosters, locations and teams, it contains data about staffing, availability and worked hours.
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e-Brida is software for the seed and breeding sector, covering pedigrees, trials, observations, photos, field registration and analyses.
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Exact Globe is an ERP and financial system often used for administrations, general ledger, sales, purchasing, stock and business processes.
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Exact Online is the administrative heart of many organisations. Invoices, bookings, debtors, creditors and sometimes projects, CRM or stock come together there.
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FedEx provides shipment, tracking and delivery data for international and domestic logistics. For fulfilment and service-quality reporting, this data is valuable alongside orders and customer information.
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Fiscaal Gemak is used for tax processes and filing work in administrative or accountancy environments. Its data is relevant for progress, statuses, client files and accountability reporting.
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Freshdesk is a platform for customer service and ticket handling. Tickets, conversations, statuses, SLAs and customer questions provide insight into service quality and workload.
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Fulfilment Crowd supports fulfilment, storage and shipping processes for webshops and brands. Its data centres on orders, stock, shipments and operational processing.
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Gearbox is a source that can appear in agricultural and cultivation processes, for example around vision AI, quality control or operational observations.
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Genesys is used for customer contact, contact centres and omnichannel service processes. Calls, waiting times, interactions and routing provide valuable data about customer service.
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GitHub is where software teams manage repositories, issues, pull requests, releases and workflows. For organisations steering software development, it contains valuable process data.
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Google Ads contains campaign, ad, keyword and conversion data that marketing teams use to steer paid search traffic. Separate campaign reports only tell part of the story.
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Google Analytics measures website and app usage, events, conversions and traffic sources. The data becomes manageable when it is linked to commercial or operational outcomes.
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Hotjar provides insight into user behaviour through heatmaps, session recordings, feedback and forms. It shows where visitors drop off or get stuck, but often sits apart from hard conversion and customer data.
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HubSpot combines CRM, marketing automation, sales and service processes. Leads, deals, campaigns, contact moments and tickets together create a rich customer view.
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Instagram Ads contains advertising performance around campaigns, audiences, creatives and conversions within the Meta ecosystem. For marketing teams, this data is most valuable alongside cross-channel results.
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Itsperfect is a cloud ERP solution for fashion brands. The platform brings ERP processes together with B2B webshop, POS, PLM, WMS, wholesale, retail and customer data.
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Jira supports teams with project management, software development and issue tracking. Issues, sprints, statuses, lead times and priorities provide insight into workload and progress.
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Kantoor Gemak supports administrative and accountancy processes around client files, workflows and office organisation. Its data helps make progress, workload and client service visible.
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Klaviyo is a marketing automation platform for e-commerce, email, SMS and customer segmentation. Campaigns, flows, profiles and revenue contribution provide valuable marketing data.
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KNMI provides weather, climate and measurement data that organisations use for planning, risk analysis, policy and operational context. Its value often lies in combining it with your own time series, locations or events.
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Lightspeed is used for point-of-sale processes, sales, stock and retail or hospitality reporting. Its data is highly operational: transactions, products, locations, customers and stock movements come together there.
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Loket brings payroll processing, HR data and personnel information together in one environment.
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Mailchimp supports email marketing, lists, campaigns and automations. Open rates and clicks are useful, but become more valuable alongside customer, revenue and conversion data.
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Matomo is an analytics platform for organisations that want to measure website behaviour, campaigns and digital conversions with more control over privacy and data ownership.
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Meta Ads covers advertising data from channels including Facebook and Instagram.
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Microsoft Ads contains advertising performance from the Microsoft search network, including campaigns, keywords, costs and conversions. In reporting, this channel is often viewed alongside Google Ads and social advertising.
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Microsoft Dynamics 365 Business Central is an ERP solution for finance, sales, purchasing, stock and operations. For many organisations it is a central source for business processes.
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Microsoft Dynamics Customer Engagement supports CRM processes such as sales, marketing, service and customer relationships. Its data provides visibility into accounts, opportunities, activities and customer interactions.
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Multivers, formerly Unit4 Multivers and now part of Exact, is business software for SMEs covering accounting, HR, payroll administration and office automation.
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Navision, often known as Microsoft Dynamics NAV, is an ERP system for finance, sales, purchasing, stock and operations. Many organisations have built years of process history in it.
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Nmbrs is used for payroll processing, HR processes and personnel information. For accountants, HR teams and employers, it contains data about employees, payroll runs, contracts and changes.
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Ovatic is a platform for cultural institutions around planning, ticketing, marketing and CRM. Programmes, venue occupancy, ticket sales, subscriptions and audience profiles come together there.
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PE-Online is used for continuing education, accreditation, quality registrations and professional development. Its data is often important for progress, accountability and signalling.
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Picqer is warehouse software for webshops and fulfilment teams. Orders, pick lists, stock locations, shipments and processing times come together there.
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PostNL contains logistics data about parcels, labels, tracking and delivery statuses. For retail and e-commerce, this data is important for tracking delivery reliability, delays and customer impact.
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Returnless supports return processes for e-commerce. Its data shows which products are returned, why customers return them and how return flows develop.
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Salesforce is a broad CRM platform for sales, service, marketing and customer relationships. Accounts, opportunities, activities, cases and forecasts form an important commercial source.
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SendGrid is used for transactional email and email campaigns. Delivery, opens, clicks, bounces and events provide insight into communication quality.
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Shopify is a widely used commerce platform for webshops. Orders, products, customers, discounts, payments and stock provide a rich view of online sales.
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SmartFMS, from the BlueLemon24 environment, helps organisations with client files, processes, tasks, hours, invoicing and central case-file management.
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Snapchat Marketing contains advertising data around campaigns, audiences, creatives and conversions on Snapchat. For marketing reporting, this data is most useful alongside other paid channels.
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Storescan provides visitor counts and in-store analytics for retail, real estate and locations.
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SurveyMonkey is used to collect surveys, feedback and research results. Responses provide context for customer satisfaction, employee signals or market research.
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Teamleader combines CRM, sales, projects and invoicing processes for commercial teams and service providers. This creates rich context about customers, deals, activities, projects and follow-up.
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TikTok Marketing contains advertising data about campaigns, creatives, audiences, costs and conversions on TikTok. For a complete marketing view, this channel is usually compared with search, social and webshop data.
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Trunkrs is a logistics source for same-day and next-day delivery in e-commerce. Shipments, statuses and delivery moments provide insight into operational performance.
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Trustpilot collects reviews and customer ratings. Its data provides valuable signals about satisfaction, reputation and areas for improvement.
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UPS provides tracking, shipping and delivery data for logistics processes. For operational reporting, this data is valuable alongside orders, returns and customer contact.
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V-smart is an integrated library system from Axiell for collection management, lending, catalogue management, order administration, journal management, reporting and public catalogue.
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Vektis manages and publishes healthcare data that organisations use for analysis, policy, accountability and sector insight. That data becomes more valuable when placed alongside your own healthcare, finance or policy data.
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WolkyTolky is relevant in agricultural environments where weather, measurement and sensor data from fields or cultivation processes is used.
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WooCommerce is a webshop platform inside WordPress. Orders, products, customers, coupons, payments and stock provide a rich view of online sales.
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Zendesk is used for support, tickets, customer contact and service processes. Tickets, statuses, channels, SLAs and customer interactions provide insight into service quality and workload.
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Practical answers about getting started, data sources, B2C and B2B, dashboards, analyses and collaboration.
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, Exact, AFAS, Microsoft Dynamics, PIM systems, WMS, fulfilment providers, carriers, Google Analytics, Google Ads, Meta, Klaviyo and custom sources. Also view the source catalogue.
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 clear fixed monthly amount so costs remain predictable. In a no-obligation conversation we discuss what fits your situation. Schedule a call.
Start small with one use case or immediately discuss a complete data foundation for retail, e-commerce, wholesale or D2C.
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