From mechanics to intelligence: kickstart an AI-powered transformation

Imagine a bustling manufacturing unit, where heavy machinery, stacks of raw materials, buzzing production units, and proficient workers come together to create intricate products that make our lives better. Yet, beneath all this productivity, manufacturers grapple with challenges from rising input costs, supply chain constraints, quality control issues, unpredictable demand patterns, and intensifying competition. How can they tap into their greatest untapped asset — enterprise data — to unlock unparalleled advancements in efficiency, productivity, and growth?

Manufacturing

Get ready for data-driven disruption on the factory floor

As AI and ML technologies continue to disrupt industries across the world, the time has come for manufacturing units to go full throttle on these cutting-edge technologies and usher in an era of unprecedented innovation, efficiency, and remarkable success. Harness the power of enterprise data to enable predictive maintenance, optimize supply chains, bolster quality control, maximize operational efficiency, and drive accurate demand forecasting. By doing so, companies can now minimize downtime, improve inventory management, ensure product excellence, streamline workflows, and enhance customer satisfaction, propelling the industry towards unprecedented success.

Unlock the true potential of industrial data with AI and ML

ElectrifAi’s ML-powered solutions empower manufacturing industry to stay ahead in a highly competitive landscape by driving revenue growth, reducing costs and risks, and improving operational efficiency

Boost revenue growth through data analytics and AI-powered automation to enable predictive maintenance, optimize production processes, minimize downtime, boost efficiency, and reduce costs
Cut costs by analyzing data and identifying patterns to optimize inventory management, reduce waste, improve supply chain efficiency, prevent equipment breakdowns, and minimize downtime
Mitigate risk through real-time monitoring of operations to detect anomalies, predict potential failures, and minimize safety hazards and equipment malfunctions. Analyze historical data and market trends to boost risk assessment and enable proactive decision-making
Improve operational efficiency by automating routine tasks and analyzing data in real-time to optimize production processes, streamline operations, reduce errors, and improve productivity, leading to faster turnaround times and cost savings

Manufacturing Industry Solutions

Operations, Maintenance and Safety
Supply Chain and Inventory
Finance and General Counsel
Predictive maintenance
Predictive maintenance
Analyze data from IOT systems and sensors in real-time to identify patterns and anomalies, predict equipment failures beforehand, allow proactive maintenance, reduce unplanned downtime, optimize maintenance schedules, and ultimately save costs. Achieve enhanced CX, higher revenue and profitability, and monetizable insights
Quality control
Quality control
Employ AI-based image recognition systems to analyze product images and identify defects or anomalies with high precision, ensuring consistent product quality and minimizing manual inspections
Worker safety
Worker safety
Monitor production environments (from factory to farms) in real-time through computer vision technologies to ensure safety and PPE compliance, identify and alert on potential safety hazards and detect unsafe behavior, promoting a safer work environment for employees
Worker scheduling optimization
Worker scheduling optimization
Analyze historical data, production demand, and employee performance to optimize shift assignments, reduce labor costs, minimize overtime, and ensure adequate coverage, fostering productivity, work-life balance, and operational efficiency
Demand forecasting
Demand forecasting
Boost free cash flow by enhancing sales and minimizing slow-moving inventory, utilizing accurate attribute-based forecasting that accounts for regional trends, historical data, pricing, and sourcing dependencies
Inventory optimization
Inventory optimization
Leverage predictions on customer behavior, purchasing patterns, and market dynamics to determine optimal safety stock and prevent overstock and backlogs while maintaining service levels. Harness real-time location systems and IOT capabilities to analyze and optimize stock inventory utilization
Supply chain network optimization
Supply chain network optimization
Improve efficiency in freight, logistics costs, warehouse site selection, and SKU configuration. Boost inventory throughput with streamlined freight and logistics turnaround times
Supply chain risk mitigation
Supply chain risk mitigation
Generate insights to address material, cash flow, and information flow risks across isolated supply, inventory, and cash management systems, using a combination of internal and external data sources
Spend analytics
Spend analytics
Uncover negotiating leverage, provide actionable recommendations for savings, and de-risk the supply chain with ML-powered spend analytics
Working capital payment term optimization
Working capital payment term optimization
Strengthen working capital with payment term optimization, optimizing payment terms, maximizing cash, avoiding penalties, and negotiating favorable discounts to enhance liquidity
Contract analytics
Contract analytics
Identify risks and improve decisions by reading, analyzing, and comparing commercial contracts using AI to deliver business-critical insights

Value Proposition

With low upfront investment, quick ROI, and enhanced operational efficiency, our solutions help you unlock the true potential of data to drive superior business outcomes in just 6-8 weeks
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Rapid Business Value for the C-suite with Ai
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6-8 Weeks

Rapid Time to Value
High ROI, business solutions for the modern data stack

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10x

Lower Costs of Data Science
Buy vs. build. Faster, better, cheaper. Less cost, less risk

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Responsible

Transparency and Explainability
To mitigate risks with fairness and trust in the model

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All your data

We work with all data types
From structured, unstructured to scattered data

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End-to-end

We do the heavy lifting
From data ingestion, cleansing, and normalization to pre-build ML solutions

Success Stories

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Optimizing payment terms for a global chemicals manufacturer using merely PO, invoice, and payment data
Gained complete spend visibility with realized savings of $2M in one fiscal year and 99% spend categorization
Reduced supply chain and credit risks across 20K customers with machine learning

Resources

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Blog
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February 25, 2022
How Machine Learning Can Transform the Manufacturing Industry