Zylio AI unifies heterogeneous purchasing data for optimal analysis

  • Compilation of purchasing documents

    Purchasing documents are made up of internal documents (purchase orders, receipt slips, etc.) and external documents (quotes, invoices, returns slips, etc.). Whatever the form of these documents, the prerequisite for any analysis is to organize their reception and archiving: this is the role of Zylio AI.

  • Purchase data extraction

    Once the purchasing documents have been entered, and to enable data cross-referencing and analysis, it is necessary to reformat the data. This extraction is carried out in real time by the AI, and is then processed using a unique, in-house formatting system.

  • Analysis of purchasing data

    Once all the data has been extracted from quotations, orders and purchase invoices, it is formatted according to a single protocol. It is then possible to move on to the analysis phase, based on a synthesis proposed by the Zylio AI, or to proceed with an analysis of the raw data (made possible by optimal readability). It is the homogenization of reference data that enables comparison and analysis.

  • Consistent data processing

    Data analysis software (Power BI) can help you optimize the financial and operational management of your purchasing operations, but only on one condition: that the extraction of data respects the consistency of its assignment. To put it plainly, Zylio AI standardizes the presentation of all content data (quotation, invoice, purchase order, framework contract) while assigning each piece of data to its object (price, % discount, quantities). AI supports Power BI by classifying data in a logical way, enabling consistent analysis.

  • Reports and Dashboards

    Zylio AI enables interactive data visualizations that facilitate analysis of purchasing-related investments (by supplier, by period, by product category) and real-time monitoring of expenditure (comparison between budget forecasts and accounting reality, compliance with commercial conditions).

  • Improving decision-making

    Trading opportunities are easier to identify thanks to dashboards that provide reliable, up-to-date information in real time. Budget planning is refined and commercial conditions updated in line with market trends and data cross-referencing.

The problem of unstructured data

Zylio AI for consistent data analysis

    • A single, consistent data model

    Zylio AI compiles raw data and classifies them logically according to their origin (quotes, orders, invoices) and nature (prices, quantities, discounts in % or value, transport costs, etc.). Analyses of purchasing data are reliable and comparative.

    • A basis for complex calculations

    Based on structured data, all calculations can be performed and certified as 100% reliable: calculation of total expenditure by product type, calculation of purchasing budgets by supplier, expenditure growth by period.

    • Optimizing purchasing investments

    Zylio AI identifies sources of overspending, duplicate invoices, and unapplied discounts (quote/invoice comparison). Dashboards provide reliable information for supplier negotiations. Automatic updates eliminate the errors associated with manual data entry (saving time and increasing relevance): AI creates a single repository for purchasing data, even if it comes from scattered sources.

Multi-site performance lever

Make framework agreements more profitable by cross-referencing purchasing data

  • Negotiating power and cost reduction

    Extracting purchasing data and putting it into a consistent format enables common suppliers and price differences to be identified. The number of suppliers and product references can be optimized for more profitable strategic partnerships.

  • Process standardization and optimization

    Consistent reporting based on a single format enables more rational purchasing processes (saving time and money in terms of stock management). The centralization of structured data by Zylio AI reduces administrative commitment by automating the collection and extraction of purchasing data, and the creation of analysis reports.

AI & Purchasing Automation

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