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industrial gas manufacturing

Confronting Challenges Facing the Industrial Gas Manufacturing Sector with Advanced Predictive Analytics Models – A Success Story by Quantzig

Industrial gas manufacturing companies gather huge volumes of unstructured data through their advanced process control (APC) and manufacturing optimization systems that can help examine and predict equipment performance in real-time. Today industrial gas manufacturing companies can no longer rely on simulation models to acquire and analyze data, as such models generally assume the steady-state of operations and do not consider real-time conditions that impact machine performance. As a result, industrial gas manufacturing companies are on the lookout for advanced predictive models and analytics solutions that can help them visualize the value and devise systems for improved outcomes. Predictive analytics can help the oil and gas industry predict downtime by analyzing factors impacting exploration, drilling, and refining processes.

Downstream oil and gas companies can also leverage predictive analytics models to gain deeper insights into transport, supply chain, and distribution processes. This not just helps them to better manage end-to-end processes but fosters an analytics culture driven by data-driven decision making and advanced analytics.

With the emergence of new analytics tools and technology, where should oil and gas industry executives focus their investments?

Request a FREE proposal to gain detailed insights.

Benefits of Using Predictive Analytics in the Industrial Gas Manufacturing Sector

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pharma logistics

Rethinking the Pharma Logistics Supply Chain with Advanced Supply Chain Network Optimization Solutions

About the Client

The client is a leading US-based pharma logistics services provider that offers warehousing, logistics and distribution services for medical-pharmaceutical products. The services offered by the client include all processes involved in different phases of pharma logistics, right from professional warehousing to optimized delivery and distribution.

Business Challenge

The pharma logistics segment is experiencing major upheavals due to the dynamic economic environment and the technological disruptions in the market. Many companies have been successful in responding proactively to these disruptions by manufacturing and marketing medicines more efficiently, but they’ve invested relatively little effort in re-configuring their manufacturing, logistics and supply chain management operations. However, logistics and supply chain management is just as important to driving process efficiency as it’s the link between the manufacturer and the marketplace.

For years, pharma logistics companies have been challenged by various supply chain complexities. Today, many of them have critical new products on the brink of launch and are forced to redesign their supply chain network. The need to market new products faster with minimum delays have prompted pharma logistics service providers to design an integrated supply chain – one that offers a unified view of all internal and external operations to reduce the time-to-market and deliver better products with the shortest lead time and lowest cost.

Whether you seek to improve your logistics and supply chain management strategy, operations or transform your entire supply chain, our portfolio of advanced supply chain network optimization solutions offers the ideal combination of being tailored to your unique needs paired with faster time to value. Request a FREE proposal for detailed insights.

The US-based pharma logistics client faced similar challenges due to the lack of an enterprise-wide single source of truth & reliable, consistent and controlled reporting. Also, the complexities in delivering insights through complex reporting and dashboarding processes prompted them to collaborate with Quantzig to slice and dice supply chain data and optimize operations using an analytics-backed approach to supply chain network optimization.

Solution Offered

As part of a strategy to optimize pharma logistics supply chain operations, the client partnered with Quantzig to implement a solution based on advanced supply chain analytics techniques and machine learning algorithms. Collaborating with a team of supply chain network optimization experts and data scientists, the pharma logistics services provider was able to shorten it’s time to market by optimizing supply chain operations and improving process efficiency.

Quantzig adopted a three-pronged approach to optimize supply chain operations:

For building a supply chain optimization model, the analytics experts at Quantzig leveraged advanced analytics and powerful insights that combined supply chain network optimization and dynamic simulation capabilities in one package, empowering them to measure every aspect of supply chain performance to enhance decision making.

pharma logistics

Contact us to learn how our supply chain analytics solutions can improve your supply chain performance

Phase 1: Baseline Scenario Modeling

The first phase of this supply chain network optimization engagement revolved around the creation of a baseline scenario model to analyze the current state of the supply chain and to better understand factors impacting supply chain efficiency.

Phase 2: Data Analysis

The second phase of this supply chain network optimization engagement focused on integrating pharma logistics supply chain data from disparate sources to identify factors impacting supply chain efficiency. The use of advanced data analysis and statistical models helped generate comprehensive insights and analyze the pharma logistics supply chain issues in real-time.

Phase 3: Data Interpretation

In the third phase of this supply chain network optimization engagement, we focused on interpreting data to develop a strategic and tactical approach to decision making with visibility into pharma logistics processes, network design, sourcing, and capacity. The aim was to enhance supply chain network optimization by analyzing what-if scenarios and the cost factors associated with network redesign and decisions based on stochastic parameters.

Result

  • 15% reduction in changeover time and cost through optimized production plans
  • Accurate demand forecasts to prevent overtime and variable shift patterns
  • Reduction in inventory levels through reduced cycle times and increased conformance to plan
  • Dramatic reduction in pharma logistics scheduling time through automation

Want comprehensive insights on the business benefits of supply chain network optimization solutions? Schedule a FREE demo now!

About Quantzig’s Supply Chain Network Optimization Solutions

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Mobile telecommunications services

German Mobile Telecommunications Services Provider Reduces Churn and Improves CX Using Customer Churn Analytics

Engagement Summary

A leading mobile telecommunications services provider engaged Quantzig to leverage its analytics solutions to identify factors impacting the churn rate. The churn analytics engagement began with a detailed analysis of customer data sets obtained from various sources. The use of a predictive churn analytics model aided the client to gain detailed insights into factors that prompted their customers to switch services while offering new opportunities to retain existing customers and drive revenue.

About the Client

The client is a leading mobile telecommunications services provider based out of Germany. With over a million fixed-line and mobile customers & 8,000+ employees, the company is one of the largest mobile telecommunication services providers in Germany. 

Business Challenge

The growing competition and economic recession have increased the competition between providers of mobile telecommunications services not just in Germany but from various geographies. With leading network operators & mobile telecommunications services providers offering uninterrupted networking services and the effects of the financial crisis still being felt strongly across the country, mobile telecommunications services providers are being pressurized to offer better services to retain customers. This has made customer retention crucial for mobile telecommunications services providers globally.

mobile telecommunications services

Learn more about our offerings for the telecom industry.

In this scenario, the mobile telecommunications services provider based out of Germany faced a similar challenge driven by customer churn and was looking for a solution to reduce the business risk of customers switching to its competitors’ networks by analyzing the factors affecting churn. They were looking at collaborating with Quantzig to analyze business risks associated with customer churn through the implementation of a customer churn prediction model.

Solution Offered

As a part of the strategy to leverage analytics to drive down churn, the mobile telecommunications services provider collaborated with Quantzig to implement a solution based on natural language processing and machine learning. Working together with a team of seasoned analytics experts and data scientists, the company devised a four-pronged approach to analyze factors behind customer churn, which in turn, helped shorten it’s time to value dramatically.

Advanced predictive churn models can potentially lead to better decisions while determining the strategies and plans for mitigating churn. Don’t you agree? Speak to our analytics experts to get started!

Phase 1: Data Acquisition and Aggregation

The first phase of this customer churn analytics engagement revolved around combining data obtained from disparate sources and customer touch points to identify customers with the highest churn risk.

Phase 2: Data Integration and Analysis 

The second phase focused on integrating and analyzing data using advanced statistical models to generate comprehensive insights that help predict churn & analyze factors leading to customer churn.

Phase 3: Data Interpretation

In the third phase of this customer churn analytics engagement, we focused on interpreting data & developing corrective measures to reduce the business risk of existing customers switching to its competitors’ network by implementing innovative ways to improve the overall customer experience.

Phase 4: Dashboarding & KPI Tracking

In the final phase, our customer churn analytics experts helped the mobile telecommunications services provider to use complex business rules and pattern analysis to identify new opportunities to enhance revenue and reduce churn. The use of interactive analytics dashboards played a key role in real-time tracking and monitoring of KPIs for the new revenue enhancement and churn prevention opportunities.

Request a FREE demo to gain comprehensive insights into our analytics solutions portfolio for the mobile telecommunications services sector.

Result

  • Reduced the time required to process data through automation and advanced analytics
  • Identified the most effective ways to improve the customer experience while reducing churn on key customer journeys by 70%
  • Enhanced customer experience and reduced churn using advanced churn models

How Quantzig’s Customer Churn Analytics Solutions Help Mobile Telecommunications Services Providers

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