Predictive Analytics & MLForecasts and predictions your teams act on, not just admire.
Data scientists and ML engineers who turn your sales, inventory, customer and finance history into forecasts and scores that land inside the ERP, CRM and dashboards your teams already use. Every model has to beat a simple baseline before it goes live.
- Demand forecasting
- Churn & propensity
- Scoring models
Free 30-minute call with a senior data scientist. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
What are predictive analytics and machine learning services?
Predictive analytics uses your historical data to estimate what is likely to happen next: how much of each product will sell, which customers are about to leave, which leads will convert or which invoices will be paid late. Stack18 checks whether your data can support a reliable model, builds and validates it against a simple baseline, deploys it into the systems your teams use and monitors it so accuracy does not quietly decay.
Last reviewed 11 November 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Use-case and feasibility assessment; Demand and sales forecasting; Churn and propensity models; Lead, credit and risk scoring; Model deployment and integration (MLOps); Monitoring, explainability and retraining. |
|---|---|
| Typical first step | Model Feasibility Study: 3 weeks; fixed price. |
| Next step | Production Model Build: 6–10 weeks; fixed price. |
| Long-term option | Model Care: ongoing; monthly retainer. |
| Measured by | Forecast accuracy against baseline; Model lift; Stock-outs and excess stock; Decisions acted on. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates before anything reaches production. NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need Predictive Analytics & ML when…
Tap the ones that apply to you.
Predictive Analytics & ML, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Use-case & feasibility
Pick the predictions worth making, and prove the data can support them.
- Use-case ranking by value and effort
- Data sufficiency and quality checks
- Baseline and success metric agreed up front
Demand & sales forecasting
SKU, store and region forecasts your planners can trust.
- Seasonality, festivals and promotions
- Reorder and production suggestions
- Stock-out and overstock alerts
Churn & propensity models
Know who is likely to leave, buy again or upgrade.
- Churn and repeat-purchase risk
- Next-best product or offer
- Segments ready for campaigns
Lead, credit & risk scoring
Rank leads, customers and invoices by what matters.
- Lead conversion scoring
- Payment delay and collections risk
- Explainable scores with reason codes
Deployment & MLOps
Models that run inside your ERP, CRM or app, not in a notebook.
- APIs and scheduled scoring jobs
- Versioned models and features
- Write-back to ERP, CRM and dashboards
Monitoring & retraining
Accuracy that holds up after launch.
- Drift and accuracy monitoring
- Scheduled retraining with approval
- Model cards and audit trail
A typical predictive model engagement, week by week.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Feasibility
Rank use cases, profile the data and agree the baseline and success metric.
Design
Prepare features, choose methods and set up the evaluation on held-out history.
Build & validate
Train and compare models, back-test against the baseline and review errors with your team.
Deploy & monitor
Ship scoring into your systems, document the model and switch on drift monitoring.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further.
Model Feasibility Study
Teams with a prediction in mind and data they are unsure about.
- Duration
- 3 weeks
- Pricing
- Fixed price
- Ranked use cases
- Data sufficiency check
- Baseline and costed build plan
Production Model Build
Teams ready to put one prediction to work.
- Duration
- 6–10 weeks
- Pricing
- Fixed price
- Validated, explainable model
- Integration with your systems
- Monitoring and model card
Model Care
Live models that need to stay accurate.
- Duration
- Ongoing
- Pricing
- Monthly retainer
- Drift monitoring and fixes
- Scheduled retraining
- New models on the same platform
Free forecast feasibility call
Tell us what you want to predict and what history you have. A Stack18 data scientist tells you whether a model is likely to beat your current method, and what it would take.
- An honest feasibility view
- Data gaps to close first
- Suggested next steps, no obligation
We agree targets before we start.
Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.
Where Predictive Analytics & ML makes the biggest difference.
Distribution company
- Challenge
- Reorders based on last month’s sales lead to stock-outs before festivals.
- What we do
- SKU and region forecasts from Tally and dealer-portal history, with weekly reorder suggestions.
8 weeks
D2C brand
- Challenge
- Repeat purchase is falling, and nobody knows who is about to lapse.
- What we do
- A churn and repeat-purchase model feeding win-back segments into the CRM and WhatsApp.
7 weeks
NBFC or B2B lender
- Challenge
- Collections teams chase every overdue account the same way.
- What we do
- An explainable payment-delay score that prioritises follow-up, with reason codes for every account.
10 weeks
Predictive Analytics & ML questions.
How much data do we need for a predictive model?
It depends on the question. Demand forecasting usually needs at least 18 to 24 months of sales history to capture seasonality, while churn and lead scoring need enough past examples of the outcome you want to predict. The feasibility study tells you plainly whether your data is enough, before you pay for a build.
Will the model be a black box?
No. We prefer the simplest method that beats the baseline, show which factors drive each prediction and give every score reason codes your team can read. Every model ships with a model card that explains what it does, how it was tested and where it should not be used.
Which tools and platforms do you use?
We work in Python with standard open-source libraries for forecasting and machine learning, and deploy on your cloud (AWS, Azure or Google Cloud) or on-premise. Scores are written back to your ERP, CRM or BI tool rather than living in a separate system.
How is this different from Data & Analytics?
Data & Analytics tells you what has happened, through a trusted warehouse and dashboards. Predictive Analytics & Machine Learning estimates what is likely to happen next and puts that prediction into a daily decision, such as a reorder, a call list or a collections queue.
How do you handle personal data and the DPDP Act?
We use the minimum personal data the model needs, mask or pseudonymise it where possible, document the purpose and keep access role-based, in line with the DPDP Act. Your data is not used to train models for anyone else.
Do you provide predictive analytics and machine learning services in Jaipur and across India?
Yes. Stack18 is headquartered in Jaipur, Rajasthan, and builds predictive models for businesses across India. You get a free 30-minute call, a fixed-price feasibility study and weekly read-outs, wherever you are.
Often combined with.
Predictive models depend on data engineering and platforms for clean history, and surface in data and analytics dashboards. Scores can trigger AI agents and automation and personalised journeys through customer data and personalisation. See all Stack18 services.
Let's scope your Predictive Analytics & ML project.
Tell us where you are and where you want to be. A senior data scientist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request