Manufacturing
Plutoshift's GROUNDED AI™
platform delivers business
solutions for the manufacturing industry.
- Monitor process efficiency across facilities for performance anomalies and explore predictive maintenance as a source of water / energy savings or emissions / waste reduction.
- Automate data assessment and IoT monitoring to identify outlier outcomes and potential data collection, sensor and calibration maintenance needs.
- Maintain equipment based on performance conditions, reducing downtime.
- Improve the lifespan of critical assets while reducing operational costs.
- Execute facility wastewater operations and maintenance processes flawlessly.
Sectors Plutoshift supports:
Use Cases
1.
Process and equipment energy consumption optimization
2.
Water purification and treatment
3.
Waste minimization
4.
Safety improvement
5.
Sustainability planning
1.
Optimize energy demand, production and electricity costs to improver facility performance2.
Apply predictive algorithms to water purification and treatment process to reduce maintenance costs and enhance asset life3.
Optimize chemical dosing and related materials to reduce unnecessary waste treatment and related disposal/recycling costs4.
Develop learning models to predict faults and prescribe actions that lead to less at-risk manual intervention5.
Implement unified view on facility sustainability metrics with predictive algorithms that spot performance anomalies before they occurUse Cases
Process and equipment energy consumption optimization.
Optimize energy demand, production and electricity costs to improver facility performance
Water purification and treatment.
Apply predictive algorithms to water purification and treatment process to reduce maintenance costs and enhance asset life
Waste minimization.
Optimize chemical dosing and related materials to reduce unnecessary waste treatment and related disposal/recycling costs
Safety improvement.
Develop learning models to predict faults and prescribe actions that lead to less at-risk manual intervention
Sustainability planning.
Implement unified view on facility sustainability metrics with predictive algorithms that spot performance anomalies before they occur
News & Blog
Bridging The Gap Between AI Promise and Results: 3 Actionable Steps
By Prateek Joshi: Analyst firms like Gartner and Forrester have been advising their clients and the industry at large for several years about the dramatic changes automation and AI...
Why Manufacturing Companies Continue to Struggle with AI Implementation Projects
By Prateek Joshi Manufacturing companies know that Artificial Intelligence (AI) can have multiple business advantages for the frontline team and on the overall bottom line. But despite companies’ best...
Industrial Automation: 4 Industrial AI Predictions for 2020
By Prateek Joshi: 2019 was a banner year for AI! Almost every business magazine and tech publication published a deluge of articles about AI and its impact on the...
AI for Coffee Manufacturing: 3 Ways AI is Energizing The Coffee Industry
By Prateek Joshi: From bean to barista, the global coffee industry is valued at over $100 billion. For a producer, distributor or manufacturer in this massive industry, the use...