AeronauticsARTIFICIAL INTELLIGENCE
AI streamlines procurement follow-up
ALTEN in Morocco developed an internal AI-powered assistant for a leading automotive manufacturer, helping procurement teams automatically cross-check supplier communications against project databases, identify inconsistencies, and accelerate supplier follow-up processes.
Automotive procurement teams manage large volumes of supplier interactions every day, exchanging information through emails while tracking project data across multiple systems. As programs scale and supplier networks grow, manually comparing email content with procurement databases becomes increasingly time-consuming and prone to errors.
To address this challenge, a leading automotive manufacturer engaged ALTEN to develop an intelligent assistant designed to automate procurement follow-up and improve data reliability.
Challenge: Procurement teams relied heavily on manual email exchanges and repetitive verification of supplier information against Procurement databases. This process generated delays, reduced responsiveness, and increased the risk of reporting errors.
Solution: An AI-powered assistant leveraging Large Language Models (LLMs) to securely analyze communications from functional mailboxes, cross-check information against procurement databases, identify inconsistencies, and automatically generate supplier follow-up emails with the appropriate recipients and contextual project data.
Benefits:
- Up to 100% quality-check coverage across supplier follow-up activities
- 25% to 30% reduction in processing time
- Faster identification of procurement data inconsistencies
- Reduced human errors through automated verification
- Improved responsiveness toward suppliers and project stakeholders
An AI assistant for procurement follow-up
The internal tool supports procurement teams throughout supplier follow-up activities. By combining information from project databases and functional mailboxes, the solution continuously monitors correspondence, detects discrepancies between reported and recorded data, and prepares supplier communications automatically.
The assistant highlights incoherent information, supports decision-making through consolidated visibility on deliverables status, and reduces the administrative effort required to manage procurement activities. Built using Python, modern LLM technologies, and automated workflow components, integrates seamlessly into existing procurement processes while remaining fully hosted on-premise.
Faster supplier collaboration, higher data quality
By automating verification and communication tasks, procurement teams can focus on higher-value activities instead of manually reviewing emails and project records. The solution accelerates issue resolution, improves supplier responsiveness, and ensures more reliable reporting across procurement operations.
In a function where data accuracy and reaction time are critical, the solution provides procurement teams with a scalable and dependable way to manage supplier communications, helping them deliver faster and more consistent results.
The power of generative AI has enabled this automotive manufacturer to streamline supplier follow-up processes, improve procurement data quality, and automate communication workflows at a scale manual operations could not sustain.
