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Autana Business Partners
ES

Business Optimization

Business Optimization with AI

Dynamic pricing, supply chain and anomaly detection that maximize margin

Optimization algorithms that adjust prices in real time, automatically redistribute marketing budget, optimize logistics routes and detect anomalies in operational processes before they become problems.

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Overview

Business Optimization with AI

AI optimization goes beyond dashboards: these are algorithms that make operational decisions autonomously. From adjusting a product price based on real-time demand, to redistributing marketing budget between channels based on each one's CPA, or detecting an anomaly in the production process before it generates a claim.

Included capabilities

  • Dynamic pricing: real-time price adjustment based on demand, competition and stock
  • Automatic marketing budget redistribution between channels
  • Logistics route optimization and last-mile planning
  • AI-powered capacity and resource planning (workforce management)
  • Anomaly detection in operational processes with real-time alerts
  • Business scenario simulation (what-if analysis)
  • Inventory optimization and stockout reduction
  • Shift optimization and staff planning

Return on investment

Measurable results from the first cycle

  • +8%

    Margin improvement

  • −22%

    Logistics cost reduction

  • −40%

    Downtime reduction

  • 10x

    Typical ROI

Time to first result
4–8 weeks to first production optimization
Estimated investment
From €6,000 implementation + data licenses if applicable

Use cases

Real applications by sector

Each case starts from a concrete operational pain and delivers a measurable result.

  • Customer paying with a phone at a store counterE-commerce & Retail

    Real-Time Dynamic Pricing

    Problem: Static prices that don't respond to demand changes or competitor moves

    Solution: Dynamic pricing engine that adjusts 10,000 SKUs every 15 min based on 8 market signals

    • +8% gross margin
    • +12% revenue
    • 0 manual intervention
  • Warehouse with shelves full of boxesLogistics & Transport

    Last-Mile Route Optimization

    Problem: Manual route planning with 30% inefficiency and high fuel cost

    Solution: Route optimization algorithm that reduces distance traveled by 22% with time constraints

    • −22% distance traveled
    • −18% fuel cost
    • +15% deliveries/day
  • Front of a blue car in a row of vehiclesManufacturing

    Production Anomaly Detection

    Problem: Unplanned machinery downtime generating losses of €50,000/hour

    Solution: Anomaly detection model on IoT sensors that predicts failures 48 h in advance with 91% accuracy

    • −40% unplanned downtime
    • 48 h lead time
    • ROI 10x in 6 months

Tech stack

Tools and technologies

  • OR-Tools (Google)

    Combinatorial optimization

  • Prophet / NeuralProphet

    Time series forecasting

  • Kafka / Flink

    Real-time processing

  • InfluxDB

    Time series data

  • Grafana

    Monitoring and alerts

  • AWS / Azure IoT

    IoT connectivity

Ready to implement Business Optimization with AI?

We start with a free evaluation of your case. In 30 minutes we know if it makes sense and what the first step would be.

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