DFX: A platform to fast-track your transformation to a Digital Factory

Operations Data

Digitize machines, operations, and processes to enable data that you can trust

Digital Factory Apps

Deploy apps that deliver critical metrics that improve productivity, reduce breakdowns and drive sustainability.

AI

Leverage AI to improve processes, Predict failures and to interact naturally with your data.

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One Digital Factory | Many Outcomes

DFX powers your digital journey with a suite of manufacturing apps.

AI and FactoryGPT

Deploy trained models to predict outcomes and to talk directly to the machines to ask questions around key metrics.

Cockpit

Bring together data across your factory floor into a single comprehensive overview of your operations in real-time.

Productivity

Track productivity metrics like OEE to drive throughput improvements and to reduce unplanned downtime.

Quality

Monitor critical machine parameters to facilitate quality control, track defects and to enforce compliance with standards

Maintenance

Predict machine breakdowns, track critical machine parameters and digitize the maintenance process

Energy

Analyze and reduce energy and utility consumption across operations to drive your sustainability initiatives.

Traceability

Automatically enable Genalogy records at every step of the production process to ensure transparency and accountability.

Checklist

Digitize checklists, work instructions and tasks to transform your paper processes into a digital solution

Measurable Impact Across Verticals

Automotive

With DFX, automotive manufacturers across the globe are removing bottlenecks in operations and controlling conversion costs due to increased visibility.

1,500 HOURS

Reduced unplanned downtime per machine

25%

Reduced labour cost

43,000 UNITS

Reduced Energy Consumption per plant

450 HOURS

Reduced rework per line

*Annual Average

Food & Beverages

DFX has introduced predictability in the CPG supply chain and operations, helping manufacturers digitally trace their raw material sources and processing conditions.

1,400 HOURS

Reduced unplanned downtime per machine

20% - 22%

Reduced labour cost

600 SHIFTS

Reduced shifts for the same level of demand

21%

Reduced poor quality, yield, or rework

*Annual Average

Industrial

DFX is helping the Industrial sector optimize energy and consumables consumption, monitor critical machine parameters, remove bottlenecks, and perform root cause analysis.

1,500 HOURS

Reduced unplanned downtime per machine

25%

Reduced labour cost

43,000 UNITS

Reduced electrical energy per plant

450 HOURS

Reduced rework per line

Pernod Ricard India

Pernod Ricard India

Pernod Ricard benefits from Industrial AI initiative partnered with Altizon to enhance efficiency and Quality

Manufacturing data lake creation using Datonis Edge and Datonis

Unleashing power of Analytics and AI thru DFX

Continuous Improvement thru live data

Debanjan Banerjee, CIO of PRI.

" With the enablement of this digital capability around IIOT platform, we have put the foundation of our Smart Factory blueprint. The implementation of this first successful use case has demonstrated the potential impact this could have in improving productivity. Technology augmented with right processes and capability drives meaningful action, which is what we expect to see in coming months, as we extend this to other manufacturing units. Altizon’s products, best practices and experience, coupled with PRI’s strong IT and operations teams, have led to the success "

Pernod Ricard India
SRF Case Study

SRF Connects a Complex Chemical Manufacturing Process and Drives Improvements in Product Quality

Quality improvement by deep analysis of parameters critical to the manufacturing process

Optimization of fuel and power consumption

Reduction of line breakages and improving overall productivity by predictive maintenance

Bimal Puri, VP and CIO – SRF Limited

" At SRF, we use IoT data for correlating process parameters, which helps us with better planning and cost savings. We have adopted many automation technologies and are now moving on to predictive analytics. The technology that we invested in is showing returns today. "

SRF Case Study
JK Case Study

JK Tyre Achieves Continuous Process Quality Optimization and Condition Monitoring With Datonis

Bridging the gap between critical processes, from mixing, calendaring and extrusion to cutting, winding and curing

Constant process quality optimization and predictive maintenance

ERP integration for increased visibility and prudent production planning

Anil Makkar, Manufacturing Director – JK Tyre

" We are using Altizon’s platform as the single source of truth for monitoring our operational KPIs and continuous improvement initiatives. We are in the process of scaling the solution to multiple plants. "

JK Case Study
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Visibility Equals Accountability

Pick a manufacturing line of your choice and let Altizon digitally transform it within 4 weeks. 

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