Demand & sales forecasting
Forecasts by product, store and week to plan stock, staffing and purchasing.
Singapore · UK · Worldwide
Machine Learning Development for global teams.
Forecasting, classification and risk models trained on your business data, deployed behind an API and monitored as your data changes.
Machine learning is most valuable when it improves a decision you already make every day: how much stock to order, which customers are likely to leave, which invoices or claims need a second look. KenStack builds custom machine learning models for companies in Singapore, the United Kingdom and worldwide that turn historical data into reliable predictions.
Each project follows a clear path. We explore and clean your data, set a baseline so the improvement can be measured, engineer features with your domain experts, then train and compare models with honest evaluation on held-out data. You see the expected accuracy and business impact before anything goes into production.
Models are deployed behind secure APIs or scheduled batch jobs and wired into your dashboards, ERP or CRM. MLOps practices such as versioning, drift monitoring and scheduled retraining keep predictions accurate after launch, and explainability reports show which factors drive each prediction.
What We Build
What we build with machine learning.
Typical projects we deliver, each scoped around a measurable business result.
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Churn & retention models
Spot customers likely to cancel early and trigger the right retention action.
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Pricing & propensity models
Recommend prices, discounts and offers based on demand and customer behaviour.
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Risk & fraud scoring
Score transactions, claims or applications so reviewers focus on the risky few.
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Classification & tagging
Automatically categorise tickets, products, documents and leads at scale.
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MLOps & model monitoring
Pipelines, versioning, drift alerts and retraining for models already in production.
How We Work
From discovery to production in four steps.
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01
Discovery
A free call and short audit to understand goals, users, data and constraints, ending in a clear scope and quote.
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02
Design & architecture
Wireframes, data model and technical plan reviewed with you before development starts.
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03
Build in sprints
Development in one to two week sprints with a working demo and your feedback each time.
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04
Launch & support
Testing, deployment, training and a warranty period, then optional monthly support.
FAQ
Machine Learning Development: common questions
How much historical data do we need for machine learning?
For forecasting, one to two years of history is a good start. For classification or risk models, a few thousand labelled examples is often enough. We assess your data in the first weeks and tell you honestly what is achievable.
How do you measure whether a model is good enough?
We compare every model against a simple baseline, such as last year’s figures or current rules, on data it has not seen. You get accuracy metrics alongside the business impact, such as stock saved or churn reduced.
Can you improve models our team has already built?
Yes. We review existing models and pipelines, fix data leakage and evaluation issues, and add deployment, monitoring and retraining where they are missing.
Are the models explainable?
Yes. We provide feature importance and per-prediction explanations so business users and auditors can see why a model made a decision, which is important for regulated sectors in Singapore and the UK.
More AI Services
Often paired with this.
Custom AI Application Development
AI features built into the software your team already uses, scoped around one business metric and shipped to production.
ExploreComputer Vision Development
Object detection, visual inspection and video analytics trained on your images and deployed on cloud servers or edge devices.
ExploreRAG & LLM Development
Large language models connected to your own documents and data, giving grounded answers with citations and the access controls your compliance team expects.
ExploreReady to start with machine learning?
Tell us what you want to achieve. In a free 30-minute call, on Singapore or UK time, we will suggest the right approach, scope and timeline.