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Direct material procurement - What to expect from machine learning

Machine learning creates new opportunities for commodity, energy and raw material buyers. This three-page datasheet describes the main benefits that Chief Procurement Officers can expect from machine learning.

• Unified view of the market
• Price forecasting
• Better understanding of price risk
• Better alignement with operations
• Effective long-term planning
• Broader hedging opportunities

Direct material procurement optimization - What's required?

Datapred for Procurement can shave 3-5% off your commodity, energy and raw material spend, year over year. This six-page datasheet discusses the main requirements for using Datapred:

• Price and contextual data
• Costs and constraints
• Wiggle room
• Basic technical stack

Specificities of machine learning for time series

Why is time series modeling so different? This 22-page presentation is a detailed explanation of the three specificities of time series, and their consequences for the design of machine learning solutions.

When should you use Datapred?

• Streaming data
• Multiple models
• Explainability
• Production-ready

Vital checklist for time series modeling

Applying machine learning to time series is tricky. Don't dive into your time series modeling project without checking this 3-page life-saving list first.