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AIData Analytics

Customizations become data

A system that transforms thousands of special requests into actionable insights to standardize, optimize, and make decisions with concrete data.

20253 months
ClienteStorti Spa
IndustryAnimal Nutrition
Anno2025
Durata3 months
Cosa abbiamo fatto
  • Business process analysis
  • Data extraction with AI
  • Data structuring and normalization
  • Trend and pattern analysis
  • Statistical reports for decision making
Il progetto

For Storti, a leader in the production of animal feed machinery, we built a platform that digitizes and analyzes ADFs (product customizations). From paper documents and scattered files to a centralized database with statistical reports ready for business intelligence.

La sfida

Customizations invisible to the business

ADFs documented special customer requests, but remained scattered between paper and Excel. No overall view, no data to decide what to standardize in the Baan management system.

  1. ADFs in paper or unstructured digital format, difficult to analyze
  2. Impossible to quantify which customizations are most frequent
  3. Decisions on standardization and Baan updates based on perceptions, not data
  4. Unmeasurable misalignment between commercial configurator and management system
Our Approach
  1. 1

    Discovery

    Analysis of existing processes and ADFs to define the data model and extraction rules.

  2. 2

    Digitalization

    Centralized upload and automatic extraction of key information using advanced language models.

  3. 3

    Structuring

    Decomposition into atomic characteristics, normalization, and validation with quality controls.

  4. 4

    Analysis

    Identification of patterns, frequency calculation, and generation of CSV reports ready for BI.

The Solution

A centralized database that speaks to the business

All ADFs in a single structured archive. Reports showing which customizations are most requested, which combinations recur, and where to intervene to reduce exceptions.

Automatic extraction

Information is extracted from documents without manual intervention, with validation to ensure consistency.

Centralized database

A single structured archive of all ADFs, accessible in CSV for future integrations.

Trend analysis

Identification of the most frequent non-standard configurations and correlations between characteristics.

Reports for decision making

CSV files with incidences, most requested combinations, and data ready for business intelligence tools.

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