Get in Touch
Predictive analytics consulting for better business decisions

Predictive analytics consulting for better business decisions

Forecast demand, churn, and risk from the data you already have, with senior nearshore data scientists working in your time zone.

Talk to an Expert
Applebees
KPMG
Mastercard
Microsoft
NetJets
Toyota
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
Who We Are

From historical data to what happens next

Your systems already record what happened. FusionHit turns that history into reliable forecasts of demand, churn, and risk, so your team plans ahead instead of reacting.

Senior nearshore data scientists, working in your time zone.

FusionHit nearshore data scientists building forecasting models with a US client team \
WHAT WE PREDICT

What we can predict for your business

The forecasts that change how you plan, price, and prioritize.

Demand forecasting

Anticipate what sells, where, and when, so inventory and capacity match reality.

Churn prediction

Spot customers likely to leave while there is still time to keep them.

Predictive maintenance

Flag equipment likely to fail before it stops production.

Credit and risk scoring

Score applicants and transactions on your own historical outcomes.

Dynamic pricing

Set prices that respond to demand, inventory, and competitive movement.

Customer lifetime value

Identify which customers to invest in, and how much they are worth over time.

WHAT WE DELIVER

Our predictive analytics services

Engage where you are, from a first feasibility check to models in daily use.

Predictive analytics consulting

Assess your data, pick the highest-value prediction, and size the effort and the payoff.

Predictive model development

Build and validate the forecasting models on your historical data.

Model deployment

Put predictions where decisions happen: your dashboards, CRM, or operational systems.

Ongoing model support

Monitor accuracy and retrain as your market and data change.

Why FusionHit

Why companies forecast with us

  • Senior data scientists

    Vetted seniors who have shipped forecasting models into real operations, not just notebooks.

  • We start with your data

    We assess what you actually have before promising a model, and tell you honestly if it is not ready.

  • Predictions where you work

    Forecasts delivered inside the tools your team already uses, not in a separate report.

  • Real-time collaboration

    Nearshore data scientists on US hours, live in your planning and review meetings.

FusionHit nearshore data scientists working with a US client team
CASE STUDIES

Forecasts that changed decisions

Explore All

See what your data can predict.

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
INDUSTRIES

Predictive analytics for your industry

The forecast that matters most, by sector.

Retail

Demand forecasting, churn prediction, and pricing that respond to real behavior.

Fintech

Credit scoring, fraud likelihood, and transaction risk from your own history.

Manufacturing

Predictive maintenance and yield forecasting across the plant floor.

Logistics

Delivery time, capacity, and inventory forecasts across the supply chain.

Healthcare

Patient risk scoring, readmission likelihood, and staffing forecasts.

SaaS

Churn, expansion, and usage forecasting tied to your product data.

Explore all industries
TECHNOLOGY EXPERTISE

The forecasting stack we build with

Proven tools for models that run in production.

Modeling

Data

Deployment

Visualization

HOW WE ENGAGE

Engage a data science team the way that fits

Add senior data scientists to your team, embed a dedicated team, or hand us the full build. Pick the model that fits how you work today.

Add data scientists to your team

Senior nearshore data scientists join your existing team, under your direction, in days, not months.

Embed a dedicated data team

A stable, cohesive team that works only on your forecasting as an extension of yours. You set priorities and roadmap, the team self-organizes sprint after sprint.

Hand us the full build

Hand us the roadmap and we deliver end to end, under our direction: data, modeling, deployment, and monitoring. You get an outcome, not a team to manage.

Looking to hire by skill?

Hire nearshore developers →
OUR PROCESS

How a predictive analytics engagement runs

01

Question

We define the decision you want to improve and what a useful forecast looks like.

02

Data

We assess and prepare your historical data, and tell you what it can support.

03

Model

We build, validate, and benchmark against how you decide today.

04

Action

We put the forecast into your workflow and track whether decisions improve.

FAQ

FAQs about our predictive analytics services

01

How much does a predictive analytics project cost?
Most engagements start with a focused first prediction, which keeps the initial investment contained and proves value before you scale. Cost then depends on data readiness, the number of models, and how deeply they integrate with your systems. Senior LATAM rates run 30-50% below US equivalents.
02

How much historical data do we need?
Enough to cover the patterns you want to predict, usually a couple of years for seasonal demand, or a few thousand labeled outcomes for churn and risk. We assess what you have in the first weeks and tell you honestly whether it supports a reliable model.
03

How accurate will the forecast be?
That depends on your data and how predictable the outcome is. We benchmark every model against how you decide today, so the question is not perfection, it is whether the model beats your current approach by enough to matter.
04

How is this different from the reports we already have?
Reporting and BI tell you what happened. Predictive analytics estimates what happens next, so you can act before the outcome instead of reviewing it afterward.
05

Where do the predictions show up?
Wherever the decision gets made: your dashboards, CRM, ERP, or operational tools. A forecast nobody sees does not change anything, so we deliver it into your existing workflow.
06

How long until we see the first results?
A first model on prepared data can be validated in weeks. Timelines depend mostly on how ready and accessible your data is.
07

Do you also build the data pipeline?
Yes. If your data is scattered or unclean, preparing it is part of the work, and we say so upfront rather than after the project starts.
08

What happens as our data changes?
Models drift as behavior shifts, so we monitor accuracy and retrain on a schedule. Ongoing operations fall under MLOps, delivered by the same team.
09

How is this different from machine learning development?
Predictive analytics is machine learning applied to business forecasting: demand, churn, risk. If you need broader model work such as NLP, computer vision, or recommendation engines, see machine learning development.

Ready to see what your data predicts?

Tell us the decision you want to get ahead of, and we’ll show you whether your data can support it.

Trusted by leading teams

  • Mastercard
  • NetJets
  • KPMG
  • Applebees

Rated by our clients

    Required fields

    We reply within one business day.