About the Free Honeywell COVID-19 App
This free app uses Honeywell Forge analytics models to provide predictions for the trajectory of the COVID-19 virus, allowing leaders to better inform their global return-to-work strategy.
- 20- to 50-day trends
- Active and new case predictions
- 178 countries covered
- State and county-level predictions for USA
- State-level predictions in
Supply Chain Analytics
Global crises like COVID-19 highlight how supply chain disruptions can impact entire industries. In such unpredictable times, businesses have an urgent need to reduce impact to the bottom line by reducing operational costs, mitigating supplier risk and conserving cash.
Honeywell Forge Supply Chain Analytics solution uses advanced machine learning models to predict global COVID-19 impact on operations, suppliers, and the market. The solution provides persona based prescriptive recommendations to rationalize operational spend, optimize payment terms, improve working capital and reduce supplier risk on a daily basis. In less than six weeks, this solution unlocks and prioritizes opportunities to maximize business benefits to your operations.
Improve Business Continuity on Open POs – Plan return-to-work operations globally, ensure critical suppliers can meet demand and identify alternate supplies around the globe.
Conserve Cash – Identify savings opportunities across operations and improve negotiating position on existing contracts within weeks.
Improve Working Capital – Mine for opportunities to improve working capital and rationalize payment terms across your enterprise using intelligent models from Honeywell Forge.
Improve Margins & Material Productivity – Rapidly make better-informed decisions with all your supply chain purchasing data in one place with real-time, daily updates on risks and opportunities.
AI enabled ready-to-go analytics solutions which are proven to deliver value in large industrial companies.
Automated data prep for supply chain – Consolidate critical internal and external supply chain information using AI-ML algorithms for end-to-end performance visibility across your enterprise.
Spend Analytics Engine – Identify unclassified and unmanaged spend across all commodities, providing prescriptive recommendations to commodity managers for improving material productivity. The intelligent algorithms consider value, feasibility and effort to prioritize next best actions for each buyer.
Payment Terms Optimization – Intelligent decision engine prioritizes opportunities based on the ease and likelihood of acceptance of new payment terms by suppliers, maximizing working capital.
Supplier Risk Scoring & Mitigation – Minimize supply disruptions and Improve your on-time delivery by proactively managing at-risk suppliers. Supplier risk model includes COVID-19 impact, market dynamics and supplier behavior assessments providing targeted actions to mitigate identified risk.