Highest data quality, a Single Source of Truth and immediate access across the organisation through our data platform
Vivara
Data & AI for the retail sector
A good customer experience starts well before the purchase.
Customer expectations are constantly changing. Retailers need to respond quickly to shifts in demand, stock and purchasing behaviour. Data and AI help you understand customer behaviour better and make informed decisions.
Challenges,
Customers expect a product to be available when they want to buy it. For retailers, that means continually anticipating changes in demand. Decisions about product ranges, stock and campaigns come in quick succession. Without clear insights, it is difficult to make the right choice at the right time.
How we support you,
We develop solutions that help retailers make better-informed decisions about stock, product ranges and customer interactions. This helps them respond more quickly to changes in customer behaviour and the market. The best solution always depends on the challenge and the organisation.
Data Science Lab at a glance
DSL in numbers,
40
Data experts
10+
Years of experience
200+
Projects completed
8,7
Client satisfaction
Get in touch with our experts,
Want to know what we can do for your organisation?
Younes Seghrouchni
Managing Consultant GenAI & Data StrategyE-mail info@datasciencelab.nl
Claudia Sulsters
Managing Consultant Data EngineeringE-mail info@datasciencelab.nl
Carmen Wolvius
Managing Consultant Data Science & AIE-mail info@datasciencelab.nl
Where we do that,
Latest blog posts,
Read our latest insights here.
Three lessons from our AI projects
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
From pilot to production: why most AI projects stall
Many organisations have now run an AI pilot. The model works, the demo gets applause, and then nothing else happens. In our experience, most projects…
Responsible AI: from principles to practice
Artificial Intelligence is developing rapidly. New models appear almost every week, and more and more organisations are experimenting with AI. At the…
The organisations that do this,
Frequently asked questions,
AI helps retailers forecast demand and identify changes. This allows them to align stock more closely with what customers actually need.
AI helps you understand customer behaviour better and tailor communications to individual preferences. This creates a more relevant customer experience without losing the personal touch.
By combining historical data with current developments, we can recognise patterns earlier. This helps organisations respond more quickly to changes in the market.
AI delivers value when organisations can respond to demand more quickly, make better-informed commercial decisions and run processes more efficiently. The greatest benefit comes when insights become part of day-to-day operations.
A successful application fits into existing processes and is easy to use. That way, AI is not a standalone project but a tool that supports employees every day.