Our Solutions
Three focused services,
each scoped to
a clear deliverable.
No broad platform licensing, no ongoing retainers. Each Shelvik engagement has a defined output, a fixed price, and a clean handover.
Back to HomeOur Methodology
How every Shelvik engagement is structured.
Every project begins with a data readiness review — an honest assessment of whether your existing data can support the outputs we would deliver. This takes place before any scope or pricing is agreed.
From there, each project follows the same four-phase structure: review and scoping, data preparation, model build or analysis, and a structured handover with written documentation. At each phase, you have a named contact and a clear view of progress.
Review & Scope
Data readiness and project definition
Data Preparation
Cleaning, structuring, and validation
Build & Analyse
Model development and iteration
Handover
Documentation and team walkthrough
Solution 01
Personalisation & Recommendation Engine
Design and integration of a product recommendation system tailored to your e-commerce platform and customer behaviour data. The engine is configured to your catalogue structure, trained on your transaction history, and tuned for the browsing and purchasing patterns specific to your customer segments in Singapore and the wider region.
Delivered with integration documentation and a monitoring framework so your team can track recommendation quality over time and adjust parameters as your catalogue evolves.
What's included:
Catalogue structure analysis and recommendation logic design
Model training on your transaction and browsing history
API or platform integration documentation
Monitoring framework with quality metrics
Team walkthrough session at handover
Typical process:
Data review and suitability assessment (1 week)
Catalogue structure mapping and model design (1 week)
Model training and integration build (2–3 weeks)
Documentation and handover session (1 week)
Fixed Price
SGD 2,450
Solution 02
Inventory & Demand Planning Model
Development of a data model to support more considered inventory decisions — reducing both stockouts and overstock situations by drawing on your historical sales patterns, seasonal trends, and promotional calendar.
The model is built to the rhythm of your planning cycles and delivered with an explanation of how its outputs should be read alongside the commercial judgement of your buying team. Suitable for retailers with established transactional data looking to complement rather than replace their existing approach.
What's included:
Historical sales pattern and seasonal trend analysis
Demand forecasting model calibrated to your planning calendar
Plain-language model interpretation guide
Integration with existing spreadsheet or planning tools
Typical timeline: 4–5 weeks
Sales data review and planning cycle mapping
Seasonal and promotional pattern identification
Model build and output validation with buying team
Documentation and handover session
Fixed Price
SGD 1,380Solution 03
Customer Segmentation Analysis
A structured analysis of your customer base using transactional, behavioural, and where available, demographic data to surface meaningful, actionable segments. The output is a clear segmentation framework — not a dashboard of generic clusters — accompanied by a plain-language interpretation of each segment's characteristics, value, and implications for your marketing and merchandising decisions.
What's included:
Customer data analysis using RFM and behavioural signals
Segmentation framework with named, defined segments
Plain-language narrative for each segment
Marketing and merchandising implications per segment
Segment value and strategic priority summary
Typical timeline: 2–3 weeks
Customer data review and preparation
Segmentation analysis and cluster validation
Narrative writing and commercial interpretation
Presentation and question session with your team
Fixed Price
SGD 680
Choose the Right Starting Point
Which solution fits your situation?
The right starting point depends on your data maturity, your most pressing question, and how much your team wants to engage with the analytical process.
| Feature | Personalisation | Demand Planning | Segmentation |
|---|---|---|---|
| Best for | Live e-commerce platforms | Multi-category retailers | Any retail business |
| Data required | 12+ months transactions + browsing | 12+ months sales history | 6+ months transactions |
| Timeline | 5–6 weeks | 4–5 weeks | 2–3 weeks |
| Technical integration | Required | Optional | Not required |
| Price (SGD) | 2,450 | 1,380 | 680 |
Not sure which to start with?
The Customer Segmentation Analysis is our most accessible entry point. Many clients use it to build internal confidence in data-driven decision-making before moving on to personalisation or demand planning. Contact us to talk through your situation.
Shared Standards
Protocols that apply across all three solutions.
Data Security
All client data handled in secured environments. Written data processing agreements precede every project.
Written Documentation
Every project concludes with technical documentation and a plain-language narrative. Your team can work with the output independently.
Team Knowledge Transfer
A walkthrough session is built into every project, covering outputs, how to read them, and what to watch for going forward.
Honest Assessment
We review your data before scoping. If it doesn't support the output you want, we'll tell you and suggest what would help.
Next Steps
Ready to discuss which solution fits your situation?
We'll ask about your data, your team's questions, and what kind of output would be genuinely useful. No commitment is needed for an initial conversation.
Get in Touch