Our Company
Retail intelligence
built in Singapore,
for Singapore retail.
We work with e-commerce businesses and multi-channel retailers across the region, building AI tools that fit how your teams actually operate.
Back to HomeOur Background
Where Shelvik started and what we stand for.
Shelvik was founded in Singapore in 2020 by a team that had spent the previous decade working inside retail and e-commerce businesses across Southeast Asia. The frustration was a familiar one: retailers had data, but translating that data into coherent decisions about customers, stock, and experience remained stubbornly difficult.
We started with a simple premise — that AI tools built specifically for retail, and explained in terms that buying and marketing teams can actually use, are more valuable than general-purpose platforms applied to a retail context as an afterthought.
Five years on, that premise shapes everything we do. Shelvik remains a focused consultancy rather than a platform business. Each engagement is a direct collaboration between our team and yours, scoped carefully and delivered with the kind of written documentation that outlasts the project itself.
We are based at Raffles City Tower in the heart of Singapore's central business district, and we serve retailers across Singapore, Malaysia, and the wider ASEAN region.
Our Mission
To make AI tools for retail genuinely usable by the commercial teams who need them most — not just technically capable, but clearly explained and practically integrated.
Our Vision
A retail landscape in Southeast Asia where decisions about customers, products, and inventory are informed by well-built data tools that teams understand and trust.
Our Values
Transparency in what our models can and cannot do. Respect for your team's expertise. Plain language over technical jargon. Honest scoping over overpromising.
Our Team
The people behind the work.
A small, experienced team with backgrounds spanning data science, retail operations, and e-commerce product development.
Nadia Arshad
Founder & Lead Data Strategist
Nadia spent eight years as a demand planning lead at regional retail groups before founding Shelvik. She leads client engagement strategy and model design.
Timothy Loh
Senior Machine Learning Engineer
Timothy has built recommendation and classification systems across e-commerce, fintech, and logistics verticals. He architects and delivers Shelvik's technical solutions.
Priya Wijayaratne
Client Delivery & Analytics Lead
Priya manages project delivery and translates analytical outputs into the commercial narratives that help retail teams act on data with confidence.
How We Work
Standards we hold ourselves to.
Professional conduct in data work means more than technical competence — it means clear communication, responsible data handling, and honest scoping at every stage.
PDPA Compliance
All engagements are structured in accordance with Singapore's Personal Data Protection Act. Data handling terms are agreed in writing before any work begins.
Documented Deliverables
Every project concludes with written documentation — model logic, integration guides, and interpretive narratives — so the work remains useful beyond our direct involvement.
Honest Scoping
We assess your data honestly before committing to a project scope. If your data isn't ready for a particular solution, we'll tell you — and explain what would help.
Data Security Protocols
Client data is processed in secured environments with strict access controls. Data is deleted according to agreed retention schedules at project conclusion.
Knowledge Transfer
We build capability within your team rather than creating dependency. Training sessions and walkthrough workshops are included in the project scope.
Cross-Team Collaboration
We work alongside your data, commercial, and IT teams rather than in isolation. Structured check-ins ensure the project remains aligned with your evolving priorities.
Our Expertise
Applied retail data science for Southeast Asia's e-commerce market.
Shelvik operates at the point where retail commerce and applied data science meet. Our work spans recommendation system design, demand and inventory modelling, and structured customer analysis — each engagement shaped to the specific catalogue, customer base, and operational context of the retailer we are working with.
Singapore's retail market presents particular characteristics: a sophisticated, digitally-engaged consumer base, a compressed geographic footprint, and strong cross-border purchasing behaviour across the ASEAN region. The models we build reflect these patterns rather than defaulting to global templates calibrated for Western retail markets.
Our team brings direct experience from within retail and e-commerce operations — not only from the outside as consultants. This means we understand how buying teams work, what a planning cycle looks like in practice, and where data outputs are most likely to be used or ignored depending on how they are presented.
Shelvik holds membership with the Singapore Computer Society and maintains active engagement with the Infocomm Media Development Authority's AI governance frameworks, ensuring our practice aligns with Singapore's developing standards for responsible AI deployment in commercial contexts.
Work With Us
Ready to talk through your retail data challenges?
An initial conversation costs nothing and usually surfaces something useful, regardless of whether we proceed to a project.
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