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  • Predicting water quality to minimize compliance risk.
  • Managing chemical dosage to optimize costs.
  • Monitoring asset performance in real-time.
  • Inefficient resource use and unnecessary downtime.
  • Lack of predictive digital tools to optimize process changes.
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Sectors Plutoshift supports:

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Commodity
Chemicals

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Specialty
Chemicals

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Fertilizer

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Biopharmaceuticals

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Cosmetics & personal care products

Use Cases

1.
Chemical production process efficiency
2.
Chemical inventory management
3.
Chemical consumption at wastewater treatment plants
4.
Membrane system performance
1.
Optimize process performance through predictive modeling on equipment performance
2.
Apply custom algorithms to connect production and inventory volumes with more timely and refined views on consumption and demand
3.
Optimize dosing practices to account for chemical costs, treatment requirements and production levels
4.
Proactively monitor and enhance the sizing process of membrane systems through automated learning models

Use Cases

Chemical production process efficiency.
Optimize process performance through predictive modeling on equipment performance
Chemical inventory management.
Apply custom algorithms to connect production and inventory volumes with more timely and refined views on consumption and demand
Chemical consumption at wastewater treatment plants.
Optimize dosing practices to account for chemical costs, treatment requirements and production levels
Membrane system performance.
Proactively monitor and enhance the sizing process of membrane systems through automated learning models

News & Blog

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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...
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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...
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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...
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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...

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