Why Shelvik
What makes Shelvik
a considered choice
for retail AI.
The strongest argument for working with us isn't a feature list — it's the match between how we work and what retail teams actually need from an AI partner.
Back to HomeCompetitive Advantages
The characteristics that define our work.
Each of these reflects a deliberate choice about how Shelvik operates — not a marketing claim, but something clients consistently name when they describe why they chose to work with us again.
Singapore Market Depth
Our models are calibrated for Singapore and ASEAN purchasing behaviour, seasonal patterns, and catalogue structures — not adapted from Western retail baselines.
Plain-Language Deliverables
Every project concludes with a written narrative that your buying, marketing, or operations team can read and act on without a data science background.
Honest About Limitations
We assess your data before scoping a project and will tell you if a model won't perform well on what you have. This saves time and builds longer-term trust.
PDPA-Aligned Practice
Data handling arrangements are agreed in writing before any project starts. We operate within Singapore's data protection framework, not alongside it.
Retail-Fluent Team
Our team has worked inside retail operations — not only as external data scientists. We understand buying cycles, planning calendars, and how commercial teams actually use analysis.
Documented and Maintainable
Integration guides, model parameter documentation, and monitoring frameworks mean your team can maintain and evolve the work we deliver without ongoing dependency on us.
Expertise
A team that has worked in retail, not just studied it.
The difference between a data scientist who has read about demand planning and one who has sat in planning meetings, argued over stock positions, and watched buyers override model outputs — is significant. Shelvik's team brings direct operational experience from within retail organisations.
This informs how we scope projects, how we frame outputs, and which questions we ask at the start of an engagement that external consultants typically miss entirely.
Demand planning experience from within retail operations
E-commerce merchandising and catalogue management background
Direct familiarity with how buying teams use and discard analysis
Strong command of Singapore Consumer sentiment and ASEAN purchasing patterns
No code dependency — your team maintains the output without us
Integration documentation for major e-commerce platforms
Monitoring framework to track model performance over time
Plain-language narrative alongside technical documentation
Technology
Modern tools, documented for the teams who inherit them.
We build using current machine learning methods and integration patterns. But technical sophistication is not the point — usefulness is. Every technical choice is evaluated against whether your team will be able to work with, maintain, and explain the output twelve months from now.
We deliberately avoid building opaque systems that require our ongoing involvement to operate. The goal is a clean handover.
Service Quality
A project experience that is structured and transparent throughout.
Clients receive a clear scope document before any work begins, regular structured check-ins during the project, and a final delivery session that walks through outputs in detail. There are no surprises at handover.
We keep project teams small by design — typically two to three people from Shelvik, each with direct accountability for a defined workstream. You will know who is doing what and why.
Written scope document agreed before project start
Fortnightly check-ins with direct team members
Dedicated delivery session with full walkthrough
Named accountable contact throughout the engagement
How We Compare
Shelvik vs typical alternatives.
This is not a knock on other approaches — it's a map of where Shelvik tends to be the better fit, and where other options might make more sense.
| Feature | Shelvik | General SaaS Platforms | Offshore Data Agencies |
|---|---|---|---|
| Singapore PDPA compliance | Varies | Often unclear | |
| ASEAN retail market knowledge | Limited | ||
| Plain-language output narratives | Rarely | ||
| Fixed-scope, fixed-price projects | Subscription only | T&M billing | |
| Catalogue-specific model training | Limited | ||
| No ongoing subscription required |
What Sets Us Apart
Distinctive features of how we work.
Fixed-Price Scoped Engagements
Every project is priced at a flat rate against a defined scope. No hourly billing, no retainer surprises. You know exactly what you're getting and what it costs before the work starts.
Commercial Language, Not Technical Jargon
Outputs are written for buyers, marketing managers, and operations leads — not data teams. We translate the technical work into the language your decision-makers actually use.
An Honest Starting Point Assessment
Before any project, we review your data and give you an unvarnished view of what it can support. We won't take on a project we don't believe will produce something useful.
Scalable Entry Points
The segmentation analysis at SGD 680 is designed as a low-commitment first step. Many clients use it to validate the value of data-driven work before committing to a larger engagement.
Recognitions
Professional milestones and memberships.
Singapore Computer Society
Corporate Member
AI Governance Framework
IMDA Aligned — Since 2022
80+ Retail Clients
Across Singapore & ASEAN
5 Years in Practice
Founded 2020, Singapore
Get Started
Ready to put these capabilities to work for your retail operation?
A brief conversation is the best way to assess whether there's a genuine fit between your data situation and what we build.