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AI data analytics service: analise-de-dados-com-ia · en-US

Turn data into smart decisions.

Real-time dashboards, machine learning forecasts and actionable insights that increase conversion and cut costs.

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40% more conversion5x campaign ROI95% accuracy
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Capabilities

What do we do with your data?

We don't just show charts. We generate actionable insights with AI.

01

Real-time dashboards

See critical KPIs updated automatically, with smart alerts.

02

Sales forecasting

Machine learning models that forecast revenue, demand and seasonality.

03

Behavior analysis

Understand customer purchase, browsing and engagement patterns.

04

Anomaly detection

AI spots unusual patterns, fraud and opportunities automatically.

05

Smart segmentation

Automatic clustering of customers, products and campaigns.

06

Automated recommendations

Actionable suggestions based on predictive analysis and historical data.

Use cases

Analyses by industry

Specific solutions for each type of business.

E-commerce

Demand forecasting

Anticipate which products will sell most and avoid stockouts.

Dynamic pricing

Optimize prices based on demand, competition and margin.

Abandoned cart

Identify abandonment patterns and optimize checkout.

Customer Lifetime Value

Predict the value of each customer over time.

SaaS & Tech

Churn prediction

Identify customers at risk of canceling before they cancel.

Product analytics

Understand which features drive the most value and engagement.

Funnel analysis

Optimize conversion at every stage of the funnel.

Cohort analysis

Compare behavior across different user groups.

Retail

Assortment analysis

Optimize the product mix by store and region.

Foot traffic forecasting

Anticipate peak periods and adjust staffing.

Cross-sell & upsell

Identify complementary products that sell together.

Promotion management

Measure campaign effectiveness and optimize spend.

Services

Resource utilization

Optimize staff allocation and maximize profitability.

Customer satisfaction

Sentiment analysis and NPS prediction.

Revenue forecast

Revenue forecasting based on the pipeline.

Campaign performance

Detailed ROI by channel, campaign and creative.

Integrations

We integrate with your tools

We connect all your data sources in one place.

Google AnalyticsMeta AdsGoogle AdsSalesforceHubSpotShopifyWooCommerceMixpanelAmplitudePostgreSQLMongoDBBigQuery

+ Any API, SQL/NoSQL database, spreadsheets and files.

What do you get?

Complete deliverables so you can start making decisions today.

Interactive, customizable dashboards
Automated daily/weekly reports
Trained predictive models
APIs to integrate with your systems
Smart alerts via email/Slack
Complete model documentation
Team training
Ongoing support and optimization
Proof

Real case: fashion e-commerce

How we increased conversion by 42% and cut dead stock by 65%.

What we implemented

Real-time sales dashboard
Predictive demand model by SKU
Cart abandonment analysis
RFM customer segmentation
Product mix recommendations

Results in 3 months

increase in conversion +42%
reduction in dead stock -65%
increase in average order value +28%
demand forecast accuracy 94%
saved in 3 months R$ 450k
PROCESS

How does our process work?

From collection to action in 6 weeks.

1

Audit

We map data sources and KPIs.

2

Collection

We integrate and centralize data.

3

Cleaning

We process and validate quality.

4

Analysis

We build models and dashboards.

5

Action

We implement recommendations.

first dashboards in 2 weeks · models retrained monthly · average ROI of 5x in 6 months full LGPD compliance
Frequently asked questions

Questions about data analytics

What is the difference between traditional BI and AI-powered analytics?

Traditional BI shows what happened (retrospective). AI-powered analytics predicts what will happen (predictive) and recommends what to do (prescriptive). AI also identifies complex patterns that humans cannot see in large volumes of data.

Do I need a data team to use it?

No! We are your data team. We build, implement and run everything. You only need to make decisions based on the insights we provide. We also train your team to use the dashboards.

Which data sources do you work with?

Any source: Google Analytics, CRMs (Salesforce, HubSpot, RD Station), e-commerce platforms (Shopify, WooCommerce), databases (SQL, NoSQL), spreadsheets, custom APIs and much more. If there is data, we can analyze it.

How long does it take to get insights?

First dashboards in 2 weeks. Predictive models in 4-6 weeks (we need enough historical data to train them). But you start seeing value from the first week with exploratory analyses.

How much does AI data analytics cost?

From R$ 2,500/month (BRL) for basic dashboards up to R$ 8,000/month for complete suites with multiple predictive models. Average ROI of 5x in 6 months. Many clients pay back the investment just by optimizing one marketing campaign.

How do you ensure forecast quality?

We use cross-validation and backtesting, and we test multiple algorithms (regression, decision trees, neural networks, etc.). We measure accuracy constantly and retrain models monthly with new data. Full transparency on results.

Is my data safe?

Yes! We use end-to-end encryption, restricted access, secure servers and full compliance with Brazil's LGPD data protection law. We can deploy on-premise if needed. Your data is never shared or used for other purposes.

What if I already have dashboards in Power BI/Tableau?

Great! We can add AI layers on top (forecasts, anomalies, recommendations) or migrate you to a more modern, cost-effective stack. We assess the best path case by case.

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Lana, IA da Rollin
Lana · IA da Rollin
Oi! Eu sou a Lana, a inteligência artificial da Rollin. Posso analisar o seu site ou tirar uma dúvida — quer conversar?