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Retail

Margins in retail are under pressure and customers expect a seamless experience both online and in-store. Bring your data from checkout, webshop, and inventory system together into one AI-ready data foundation, and you steer more sharply on stock, margin, and customer experience.

Retail
Challenges in retail

Challenges in retail

A retail organization relies on all kinds of separate systems: a point-of-sale (POS) system in the stores, an e-commerce platform for online sales, an inventory and ERP system, a CRM or loyalty program, and the inevitable marketing tools and Excel sheets. Useful on their own, but together they form silos. You feel that every day:

  • The same data sits in multiple systems and online and offline figures don't match, so no one is sure which number is actually correct.
  • You often only see stock problems, missed sales, or markdowns afterward, when it's too late to adjust.
  • A single customer view across all channels is missing, so online and store operate separately from each other.
  • Margin per product, category, or store is hard to oversee as long as the data is scattered.

The challenge, therefore, is not "registering more" but gaining control: an AI-ready data foundation that buyers, store managers, and management can steer by.

What we do for retail

We bring the data from your existing systems together into one AI-ready data foundation, and build the layer on top that makes the work easier. This way, your organization shifts from explaining afterward to steering in time:

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Data-driven work

We start with a clear approach: which challenge do you tackle first, for example stock or margin per category, and what is the route to steering by data across all channels.

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AI-ready data platform

Your data from checkout, webshop, inventory, ERP, and CRM comes together in one reliable, well-managed source, with governance built in from the ground up. After all, insights and AI are only as reliable as the data behind them.

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App development & AI solutions

Custom applications that we develop quickly with low-code, for example an app that distributes stock across stores or handles returns, complemented with predictive insights for demand, seasonal peaks, and stock.

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Managed Services

We monitor the environment your dashboards and data platform run on, carry out upgrades, and keep everything running reliably every day, without you having to worry about the technology.

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FAQ

  • Where do you start as a retailer who wants to work data-driven?

    With the foundation. First we make sure your data from checkout, webshop, inventory, and CRM reliably comes together from one source, then we build the dashboards, analyses, and apps on top of it. Starting with one concrete question, for example stock or margin per category, works best.

  • How do I bring my online and offline data together?

    By combining your checkout, webshop, inventory, and CRM data into one reliable picture. You keep the systems that work; we make sure the information from them lines up, so you recognize the same customer and the same product everywhere.

  • Does data really help against missed sales and markdowns?

    Yes. A large part of those costs arises because demand and stock don't line up. If you predict demand better and track stock live, you miss out less and need fewer markdowns.