Automate
❯
Optimize System
❯Supply Chain Optimization
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
Supply Chain Optimization
For:
Supply chain managersGoal:
Improve Operation Efficiency, Reduce costsProblem addressed
Supply chains are complex. Fluctuation in demand, transportation costs, and many other factors, such as bad weather, can adversely affect supply chain network performance. Managers require insights to inform decisions in the face of such uncertainties and mitigate risks such as delays and excess stock. Without tools to provide these insights, planning is extremely challenging and optimization becomes impossible.
Description
A digital twin is a digital representation of a real world physical product, system or process1. When applied to supply chain optimization, it is possible to model the entire network and run different what-if scenarios to ascertain how the network will react to different input behaviors (time delays, varying costs etc.).
Using the anyLogistix software, ITC Infotech, a global business solutions & technology services leader, was able to build a digital twin for a fast moving consumer packaged goods (FMCPG) company2. Using input from ERP systems, event information and daily demand forecasts, the digital twin was utilized to fully replicate the supply chain’s behavior and output a 15 day forecast for the network.
AI-powered root cause analysis algorithms were then applied to the forecast in order to identify potential underperformance and suggest remediation actions ahead of time.
Raw Data
AI: Perceive
Machine Learning
AI: Understand
Optimize
Diagnose
Plan & Schedule
Recommend
AI: Act