AI + Big Data • Intelligent Nodes

AI in 20% of your processes.
Impact on 80% of your business.

We help you identify and transform the critical points of your business model into intelligent nodes. We transform through applied intelligence at the points of greatest leverage.

Talk to us View use cases

Why do we exist?

Success is not luck, it's precision. At Seidel AI we believe that in every organization there are critical points in the business model that generate a high impact on results. We call this the DNA Effect: converting critical points into intelligent nodes that transform business performance.

Process Mapping

The processes, decisions and flows that define business behavior.

Critical Points

Converting critical points into intelligent nodes transforms the entire system.

Intelligent Nodes

Precise optimizations in strategic nodes = exponential impact on results.

Our Methodology

Focused projects based on Machine Learning and Big Data techniques that convert specific critical points into intelligent and autonomous nodes. We strategically intervene in key processes, where converting a critical point into an intelligent node revolutionizes the entire system.

Methodology — 6 Phases

Phase 1

Critical Point Mapping

We identify the points in the business model that generate the greatest leverage on results.

Phase 2

Architecture Design

We design the structure of intelligent nodes that will automatically optimize processes.

Phase 3

Data Analysis

We implement Machine Learning and Big Data techniques on your existing datasets.

Phase 4

Technical Validation

We test and refine models until we achieve the required precision and reliability.

Phase 5

Implementation + ROI

We deploy the intelligent node in production and measure real impact on the business.

Phase 6

Evolution

We continuously improve the node and replicate the successful pattern to other areas.

Are you ready for Seidel AI?

Assess whether your company has the necessary digital maturity to maximize our intelligent nodes.

✓ YES — Sufficient preparation

Answer these questions:

  • Are key processes digitized (sales, purchasing, production, HR...)?
  • Is data automatically stored in accessible systems?
  • Do you have datasets (even small ones) that can be analyzed to improve decisions?
  • Is there clarity about which metrics impact the business most?

If the answer is YES to everything, you're ready for Seidel AI.

✗ NO — We start with the data

What's needed ⇒ quality data

If you don't have them yet, we first apply a Digital Transformation process to improve data quality and availability.

  • Digitization of critical processes
  • Integration of existing systems
  • Implementation of quality controls
  • Preparation of datasets for AI

Real Use Cases

Real examples of critical points converted into intelligent nodes and their measured impact across different sectors.

The mystery of invisible products

Critical question
Which low-ticket products generate the most loyalty loss?
Intelligent node
Predictive supply system detected that lack of gluten-free bread in premium stores caused VIP customer defection.
Result
+6% recurrence in premium segment.

Physical cart abandonment

Critical question
Which time slots have the highest in-store abandonment?
Intelligent node
Automatic staff redistribution identified Monday midday as a critical point.
Result
+8% effective purchases with intelligent shifts.

Readmission prediction

Critical question
Which combinations increase readmission risks?
Intelligent node
Patients >65 years + respiratory symptoms + wait >70min = 2× readmissions.
Result
-11% hospital readmissions.

Medical cancellations

Critical question
Which specialties have the most cancellations?
Intelligent node
Nutrition and dermatology cancelled more on Thursdays.
Result
+17% attendance with optimized scheduling.

Delivery reattempts

Critical question
Which micro-zones generate more avoidable reattempts?
Intelligent node
Areas without concierge post-6pm = 2 reattempts on average.
Result
-9% last-mile costs by adjusting schedules.

Incidents in shared routes

Critical question
Which cargo combinations suffer more damage?
Intelligent node
Fragile cargo + cleaning products = more incidents.
Result
-12% losses by logistic separation.

Disconnection prediction

Critical question
Which variables predict talent flight?
Intelligent node
Low interaction in Teams + not using benefits + survey absence = resignation.
Result
+20% retention with early alerts.

Critical onboarding

Critical question
Which moments are critical in the first 90 days?
Intelligent node
No mentoring in week 2 = 2× resignations.
Result
+28% permanence optimizing interaction.

Commercial optimization

Critical question
Which sales reps achieve more with less investment?
Intelligent node
Profile with fewer samples and better relationships = +40% sales.
Result
+15% effectiveness replicating the pattern.

Dosage errors

Critical question
Which pharmacies have the most error returns?
Intelligent node
New employees without training in magistrals = 3× errors.
Result
-35% returns with micro-training.

Shift-based incidents

Critical question
Which shifts have higher incident rates?
Intelligent node
Night shift + no supervision = +20% incidents.
Result
-13% safety reports with task rotation.

Predictive machinery failures

Critical question
Which conditions increase mechanical failures?
Intelligent node
High humidity + 2018—2020 equipment + night shift = +30% failures.
Result
-22% downtime intelligently reassigning.