Automate
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Optimize System
❯Inventory Management & Forecasting - Capacity Planning
Inventory Management & Forecasting - Capacity Planning
For:
Inventory planners.
Scope:
Meeting increased demand for timely spare part delivery at a luxury car manufacturer using Machine Learning to identify service patterns.
Goal:
Improved Customer Experience, Improve Operation Efficiency, Reduce costs
Supply Chain Optimization
For:
Supply chain managers
Goal:
Improve Operation Efficiency, Reduce costs
Large Companies
Knowledge representation and Knowledge Graphs
For:
Inventory planners.
Scope:
Using Knowledge Graphs to hamonize data models for warehouse and production sites across 5 continents.
Goal:
Improve Operation Efficiency
Other
Computer Vision - Image Segmentation
For:
Farmers
Scope:
Using image processing to implement a livestock monitoring application.
Goal:
Improved Operation
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Large Companies
Audio Signal Processing - Speech Analysis
For:
Call center managers
Scope:
Using speech analytics to improve customer experience.
Goal:
Improved Customer Experience
Large Companies
Computer Vision - Emotion Recognition
For:
Video content creators.
Scope:
Using Computer Vision and Deep Learning for measuring emotional responses to video advertising content.
Goal:
Increase Revenues
Large Companies
Human resources - Federate the team
For:
HR professionals.
Scope:
Using Artificial Intelligence (AI) to identify ideal candidates, decrease hiring time and improve employee retention.
Goal:
Improved Customer Experience
Inventory Management & Forecasting - Capacity Planning
For:
Inventory planners.Goal:
Improved Customer Experience, Improve Operation Efficiency, Reduce costsProblem addressed
Determining the production capacity to meet customer demand in a timely manner is a challenge. This challenge is made even greater when serving an international market with a premium product. Not getting the tradeoff between cost of excess inventory and responding to customer needs in a prompt fashion can be damaging for a firm’s bottom line and brand image.
Scope of use case
Meeting increased demand for timely spare part delivery at a luxury car manufacturer using Machine Learning to identify service patterns.
Description
Machine Learning algorithms trained on historical transaction data can be applied to demand forecasting problems in order optimize inventory management and ensure optimal capacity levels for manufacturers.
When faced with increasing expectations in international markets for timeliness of delivery of spare parts, the luxury car maker Aston Martin brand turned to Tools Group’s SO99+ engine to help increase stock availability targets without increasing inventory1. By applying machine learning to Aston Martin’s historical data, SO99+ was able to identify 8 new service patterns that allowed the optimization of over 80,000 stock keeping units (SKUs). Using this information, replenishment plans were created to meet new service target levels without increasing stock levels.
Raw Data
AI: Perceive
Machine Learning
AI: Understand
Optimize
Plan & Schedule
Predict / Forecast
AI: Act