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order fill analysis

Order Fill Analysis Helps a German E-commerce Company Master Same Day, Next-Day Deliveries | Quantzig’s Success Story

Order Fill Analysis Engagement Summary

Quantzig collaborated with a world-renown German e-commerce company and helped them devised a smart, analytics-based logistics management platform that leverages machine learning to forecast demand and optimize order fill rate across the logistics value chain. In this success story, our analytics experts share insights on how logistics and transportation analytics and advanced order fill analysis can help businesses analyze order fill rates and address distribution complexities which will eventually result in optimization of costs and minimization of supply chain inefficiencies.

order fill analysis

About the Client

The client is a well-known e-commerce company based out of Germany. The client is known for operating a complex network of transport and logistics operations across Germany. Utilizing almost 1.0 million m² of warehouse space and employing over 15,000 employees the client is also one of the global market leaders in the integrated logistics & transport market space.

Take advantage of our cutting-edge logistics analytics solutions and turn your logistics data into actionable insights that help improve supply chain performance.

Business Challenge

Most companies haven’t yet achieved success in building a robust approach that is flexible enough to meet the dynamic requirements of today’s growing markets. Owing to the influx of data sets and dynamic business requirements, key decision-makers often find it difficult to achieve the target order fill rate without increasing operating costs. Also, it’s essential to note that the under-utilization of assets like warehouse, inventory, and storage space ultimately affect the organization’s ability to enhance logistics management.

With the ongoing changes and increasing requirements, the German e-commerce company witnessed a sudden surge in demand for their services. Though this was a good opportunity to drive margins, the client faced several transport and logistics challenges that curtailed their ability to capitalize on new opportunities. This is when the client approached Quantzig looking to leverage our expertise in order fill analysis to save money, improve performance, and optimize logistics performance.

The client’s challenges were further compounded by siloed logistics management systems, multiple distribution centers, scores of inventory locations and a diverse mix of suppliers. Their challenges revolve around- standardizing business processes to gain visibility into inventory levels and the order fulfillment process, inability to build a more efficient supply chain and ultimately, improve customer satisfaction in an increasingly competitive environment.

The challenges faced by the client included:

  • Disparate, siloed logistics management systems
  • Lack of standardized business processes
  • Limited platform capabilities
  • Lack of flexibility in the supply chain network and distribution footprint
  • High lead time associated with the analysis of unstructured data sets

Modern logistics analytics tools and advanced solutions can help you master logistics management. Wonder how? Get in touch with our order fill analysis experts for detailed insights.

Order Fill Analysis: Key Deliverables

  • Improve order fill rate
  • Enhance forecast accuracy
  • Conduct root cause analysis
  • Re-engineer the logistics route map
  • Improve service efficiency
  • Conduct cost-benefit analysis
  • Increase operational capacity planning
  • Optimize OTIF deliveries to ensure customer satisfaction
  • Estimate future bottlenecks

Solution Offered

By collaborating with Quantzig the e-commerce giant embarked on a logistics operations transformation journey that revolved around catering to the needs of its customers without delays. To do so, several factors had to be taken into account including warehouse capacity, logistics route map, the order fulfillment process, and the approach to effective logistics management. To help the client address their challenges, we adopted a three-phase approach to order fill analysis that resulted in a complete overhaul of the existing logistics management system leading to higher-order fill rates.

The order fill analysis engagement began with a detailed analysis of the client’s logistics and order fulfillment process. The order fill analysis solutions offered in the second phase revolved around the analysis of shipment data and stochastic lead times for improving customer service levels and component replenishment rates. After analyzing the client’s stock and logistics data, we suggested an optimal routing and replenishment strategy to minimize cost-to-serve and improve the order fill rate. In short, the order fill analysis engagement unveiled a range of opportunities that helped the client to reduce logistics costs and re-engineer their approach to logistics management.

Insights obtained through logistics analytics enable businesses to optimize routing, streamline operations, enhance supply chain transparency, benefiting both logistics and e-commerce companies alike. Request a FREE demo for comprehensive platform insights.

We Offer End-to-End Digital Order Fill Analysis Solutions

Our portfolio of advanced logistics analytics solutions is comprehensive and aims to improve logistics management right from the planning phase to the delivery phase. With the help of our innovative supply chain solutions and order fill analysis insights, businesses can gain real-time visibility into logistics operations.

Order fill analysis can also help businesses to:

  • Devise an end-to-end collaborative platform to improve visibility into all logistics functions
  • Leverage algorithm-based demand forecasting to enhance forecast accuracy and working capital
  • Improve logistics management by implementing advanced analytical approaches

Request for more information to gain detailed insights into our solutions portfolio.

supply chain operations analytics

Tackling Coronavirus’s Impact on The Canadian Grocery Retail Supply Chain with the Help of Supply Chain Operations Analytics – A Case Study

Engagement Summary

In a recent engagement, Quantzig collaborated with a Canadian supermarket to help them address the issues around supply chain disruptions due to the COVID-19 outbreak. In this success story, our supply chain analytics experts share insights on how COVID-19 is weighing on the global economy and how Canadian grocery stores can become more resilient by leveraging supply chain analytics to improve supply chain operations and diversify supply chains.

About the Client

The client is a well-known Canadian grocery retailer with a business scale of 10,000+ product categories, 900+ brands, and more than 1 lakh products on offer. Catering to a huge customer base, the client was recognized as one of the best grocery stores in Canada known for its prompt services and customer support initiatives.

Business Challenge

With COVID-19 being declared a global pandemic, the Canadian grocery retailer witnessed a sudden surge in demand for daily utilities and groceries due to which they faced several challenges such as inventory shortages, warehouse discrepancies, and out of stock scenarios.

With the rise in demand, the client was looking at improving its supply chain operations by ensuring the on-shelf availability of essential products. Considering the multiple complexities involved, achieving their ambitious targets seemed to be an uphill task that required a deeper understanding of customer buying patterns and advanced supply chain operations analytics capabilities to undertake correction and realign supply chain operations in the shortest possible time. This is when the Canadian grocery retailer approached Quantzig looking to leverage its supply chain analytics capabilities to drive improvements in supply chain operations.

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The challenges faced by the Canadian grocery retailer included:

  • Disparate, siloed systems for BI, data visualization, and analysis
  • Lack of synchronization between supply chain planning and execution
  • Limitations in supporting supply chain initiatives and platform capabilities
  • Irregular reviews of inventory stock levels, causing frequent stock-outs
  • Lack of flexibility in the supply chain network and distribution footprint, that made it difficult for decision-makers to prioritize between cost-to-serve and customer satisfaction
  • The high lead time associated with the analysis of unstructured supply chain data sets

Supply Chain Operations Analytics Engagement: Key Deliverables

  • Reduce inventory stock-outs and deliver growth
  • Improve inventory forecast accuracy and eliminate wastage
  • Conduct root cause analysis for stock-outs across the nodes
  • Support reconfiguration of the supply network by identifying all feasible network scenarios
  • Reduce cost-to-serve and improve service levels

Supply chain operations analytics helps you act on data-driven insights to reduce cost-to-serve and improve service levels. Contact our analytics experts to learn more about its benefits.

Solution Offered

By collaborating with Quantzig the Canadian supermarket giant embarked on a supply chain operations transformation journey that revolved around catering to the needs of its customers to improve turnover rates using a scalable analytics-driven solution. To help the client address their challenges the supply chain operations analytics experts at Quantzig adopted a comprehensive approach that led to a complete overhaul of the existing supply chain management system and betterment of supply chain operations.

The initial stage of this supply chain operations analytics engagement revolved around statistical analysis that leveraged exploratory techniques and predictive modeling to forecast product demand at a large scale. The use of inventory optimization models further enabled the client to devise a robust strategy for addressing complex supply chain issues with multiple constraints. By performing a detailed analysis of factors impacting inventory stock-outs, our supply chain analytics experts also highlighted slow-moving and low-margin SKUs that were negatively impacting inventory costs. This, in turn, helped the client to rationalize 30% of the SKUs and achieve a 55% reduction in inventory costs.

supply chain operations analytics

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Business Outcome

Our supply chain operations analytics solutions enabled the Canadian grocery retailer to identify an additional opportunity to redeploy 15% of the assets held at the point of sale and achieve savings by reducing CapEx and cost to serve.

The benefits also included:

  • Streamlined supply chains & improved business agility
  • Reduced supply chain shock levels
  • Re-defined stock replenishment plans
  • Improved supply chain operations management & customer service levels

Why choose Quantzig’s supply chain operations analytics solutions?

With deep-rooted expertise in carrying out advanced supply chain analytics engagements and helping leading businesses from across industries, Quantzig today stands out as a premier supply chain analytics solutions provider. By collaborating with its clients, Quantzig develops and delivers innovative business models and analytics-driven insights to address the unique supply chain requirements of businesses.

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Retail Healthcare

Quantzig’s Customer Segmentation Assists a Prominent Pharmaceutical Products Supplier bridge the Price Gaps in the Products Offered

The client: Pharmaceutical products supplier, Size: >34 billion in revenue, Area of engagement: Customer segmentation

The rising skepticism over the ever-escalating prices on pharmaceutical products is compelling organizations to improve their innovation capabilities and increase investment in R&D. As people are gaining more access to healthcare, prominent businesses are planning to manage healthcare funding and tender effective measures to narrow the price gaps between local and international brands. Along with urbanization, the rise of aging population, changing lifestyles, and increasing incidences of chronic diseases will drive the growth of the pharmaceutical products space.

Although the pharmaceutical products space is witnessing a promising growth, several factors may influence the growth of the sector over the next couple of years. These include.

  • Poor scientific productivity: The incidences of chronic diseases is witnessing a manifold where it becomes essential for the pharmaceutical products manufacturer to invest highly in innovations to meet the constant customer demands. With the relatively slow growth of the healthcare space, businesses need to ensure better production capabilities while meeting the quality requirements.
  • Drug approval stagnation: The regulations set forth by the FDA becomes an obstacle for many leading pharmaceutical products manufacturers. So, organizations need to maintain a balance between safety and innovation in the products while entering the market.
  • Rising customer expectations: As the pharmaceutical products space is shifting to a patient-centric environment, the consumers buying preferences are altering and are looking for a fast-relief in curing their illnesses. The relentless demands of the consumers are forcing businesses to produce products in an agile and seamless manner.
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To counter these challenges and effectively meet the growing demands of the customers, organizations are leveraging the need for a customer segmentation solution. Customer segmentation helps businesses divide the customer base into sub-segments to tailor their marketing efforts adequately. Customer segmentation also helps businesses gain a deeper understanding of their customers’ preferences and needs to maximize cross-selling opportunities.

The Business Challenge

The client, a prominent pharmaceutical products supplier, wanted to stay ahead of the competitors and identify new products to meet customer expectations. The client wanted to segment their customers based on the needs, behaviors, and demographics. Moreover, through an effective customer segmentation engagement, the pharmaceutical products supplier wanted to develop value-based segmentation to understand the revenue they generate. The primary concern of the client was to create and communicate targeted marketing messages to resonate with the specific group of customers.

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The Solution Benefits and the Business Impact

Strategies that we recommended based on our analysis to help clients promote sales and business development

The customer segmentation solution offered by Quantzig helped the pharmaceutical products supplier identify ways to improve product and service opportunities and establish a better relationship with the customers. The solution also sought ways for the client to differentiate customers based on their economic value. Moreover, prominent products supplier was able to predict and anticipate the most profitable customers and allocate their capital resources efficiently. The client was able to differentiate their products with that of the competitors’ offerings and improve their performance in the market.

Customer Segmentation Solution Predictive Insights

Beyond the product offerings, gaining adequate insights into the customer preferences allow organizations to offer better customer support and professional services by developing more focused marketing messages to best fit each customer segments. Moreover, the pharmaceutical products supplier can identify the most lucrative opportunities and ultimately increase revenues on investment.

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Related posts:

pharmacovigilance analytics

Analyzing the Role of Pharmacovigilance Analytics in Germany’s Precision Medicine Market – A Case Study by Quantzig

Why Choose Quantzig’s Pharmacovigilance Analytics Solutions?

Through our comprehensive portfolio of pharmacovigilance solutions, we support the entire pharmacovigilance journey of our clients right from proof-of-concept to end-to-end service customization.

From spontaneous reporting to data mining and process monitoring, we’ll guide you throughout your analytics journey. Request a FREE Proposal to get started.

To succeed in today’s precision medicine market, one must overcome the challenges facing the sector by devising appropriate strategies to skilfully tackle unfavorable situations. However, with regulations continuing to emphasize patient safety, pharmacovigilance analytics will continue to play a pivotal role in the drug discovery & development phase.

Pharmacovigilance analytics broadly describes the process of leveraging advanced analytics to collect, analyze, and interpret complex datasets containing drug safety information to identify hidden patterns and unknown correlations that can help companies operating in the precision medicine market to make better decisions.

Considering the growing complexities around drug development and drug safety, pharmacovigilance departments within the precision medicine market must have in place a robust process to identify risks and extract product & indication-specific information from across the organization. However, keeping abreast of the regulatory changes and monitoring drug safety on an on-going basis can be challenging for companies, especially those who lack the expertise and necessary pharmacovigilance analytics tools to do so.

About the Client

The client is a leading player in the German precision medicine market, offering a diverse portfolio of products for both treatment and prevention of diseases, including prescription drugs, generics, and other solutions targeted at both the physician and individual consumer-level.

Gain new insights and identify opportunities to gain a leading edge in the precision medicine market by getting in touch with an analytics expert.

The Business Challenge

With pain management and addiction drugs being new focus areas, the client decided to leverage pharmacovigilance analytics by partnering with Quantzig to build a robust pharmacovigilance analytics process. Using a pharmacovigilance analytics framework, the client wanted to analyze drug safety data obtained from various sources to build synergy between traditional analytics and clinical data to provide faster and better insights across the organization.

Additionally, the growing demand for their limited resources and lack of in-house pharmacovigilance and clinical data management systems prompted the pharma company to outsource their pharmacovigilance requirements. Also, the increased regulatory scrutiny and greater emphasis on drug safety within the precision medicine market in Germany, further pressurized the client to accurately monitor and assess the benefit-risk profile of the medicinal products as early as possible in the drug development lifecycle.

Gain instant platform access and proof-of-concept insights by requesting a FREE demo.

Solution Offered

The pharmacovigilance analytics experts at Quantzig adopted a comprehensive three-phased approached that focused on expanding the drug development and safety monitoring initiative beyond case processing to include the data from aggregated precision medicine market reports.

Phase 1: Data Standardization and Compliance Monitoring

The first phase of this pharmacovigilance analytics engagement focused on data standardization and automation of the compliance monitoring processes. This was achieved through the integration of data using advanced analytics techniques and system interoperability standards, implementation of data management best practices, and technological concepts that revolved around analytics implementation.

Phase 2: Signal Detection and Risk Minimization

The second phase revolved around risk minimization to identify and predict emerging safety signals by implementing data mining techniques to bolster safety analytics, reporting, and investigation. The use of real-time dashboards further enhanced risk minimization by providing real-time drug safety summaries, improving awareness of risks across the portfolio, and timely execution of safety risk minimization activities. This step also helped the client to analyze the role of data mining in pharmacovigilance and make the most of the insights generated.

Phase 3: Benefit-Risk Identification and Analysis

In the final phase, advanced pharmacovigilance solutions were used to repeatedly extract, decode, and process drug safety data to offer real-time insights into safety issues. This not only provided more opportunities to enhance transparency with patients, regulators, and prescribers but also offered detailed insights into how precision medicine market players can use analytics to drive trust, collaboration and ultimately improve drug discovery and development processes.

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Value Delivered

The pharmacovigilance analytics solutions provided a new way to work with pharmacovigilance data, find insights, and drive operational efficiency within the precision medicine market.

Quantzig’s pharmacovigilance analytics solutions also empowered the client to:

  • Reduce preparation time for drug safety reviews from days to hours
  • Understand safety risks earlier in the drug development phase
  • Maintain good relationships with regulators
  • Enhance the protection of patients through

Quantzig’s pharmacovigilance analytics solutions have helped leading pharmaceutical, biotech, and life sciences companies worldwide. The solution empowers the broadest spectrum of pharmacovigilance, clinical, and other data management teams within the precision medicine market to easily access and analyze clinical data, identify trends representing risks and opportunities, and empowers them to dig deeper into the data without relying on biostatistics and support from IT teams. This allows companies operating in the precision medicine market to quickly review clinical data and develop targeted drugs by leveraging an improved drug development and safety monitoring process

product cannibalization

Detection and Analysis of Factors Impacting Product Cannibalization Using a Time Series Cannibalization Modeling Approach – Quantzig’s New Success Story

Engagement Summary

Working with a major FMCG retailer based out of the United States, Quantzig was able to rapidly deliver a product cannibalization measurement framework for analyzing the promotions and discounting strategies that impact the sales of existing products.

The cannibalization measurement framework not just empowered them to gauge the promotions and the ROI generated from various product categories but offered a unified view of its impact, thereby offering deeper insights into customer buying patterns and cross product cannibalization. The new framework also improved data capture and offered significant benefits by driving sales and aiding product launch benchmarking.

Request a FREE proposal for comprehensive insights into how advanced analytics can help analyze factors impacting product cannibalization.

The FMCG industry is a competitive one and in the modern retail environment the effective exploitation of data is turning out to be crucial for the success of a product launch. Although FMCG retailers have pioneered the concept of capturing and analyzing data, information from several key areas within the FMCG industry remain unanalyzed as it extends beyond the control and capabilities of FMCG retailers. Another factor that determines success within the FMCG space revolves around analyzing promotions and discounts. As factors such as social media and digitization alter the way consumers spend, FMCG retailers are now looking for ways to drive outcomes by analyzing the impact of their marketing efforts using advanced statistical techniques.

However, the practices known to FMCG retailers lag behind when it comes to identifying information sources that can bring in a huge impact. Also, it has been observed that the next generation of FMCG retailers will be those who can leverage FMCG analytics to bring about a huge impact on their overall business operations.

The Business Challenge

The client – a leading FMCG retailer based out of the United States was facing a sharp decline in sales due to product cannibalization. A detailed analysis of their challenges revealed that they were not categorizing their products accurately neither did they have a robust product cannibalization framework in place. By leveraging FMCG analytics to gauge demand transference within product categories, the FMCG retailer was able to factor in sales cannibalization to reduce out of stock issues and drive ROI from different product portfolios.

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Solution Offered

Quantzig adopted a comprehensive three-pronged approach that revolved around devising a robust product cannibalization measurement framework. In the initial stage of this engagement, our FMCG analytics experts focused on breaking down their challenges into three different units each connected with a very thin coordination layer. This framework empowered the client to gauge demand transference and its impact on the overall ROI. The product cannibalization framework also focused on tweaking the sales execution levers such as pricing, promotion planning, and distribution to maximize the ROI generated across the portfolio.

The use of an advanced time series cannibalization modeling approach enabled the FMCG retailer to dive deep into their historic sales data sets to identify recurring patterns and analyze customer buying behavior across categories. Quantzig’s proprietary time-series product cannibalization modeling solutions also helped them gauge bounce-back rates to more accurately model the implications of product launches on the overall marketing efforts.

Value Delivered

The devised product cannibalization framework empowered the FMCG retailer to:

  • Devise a roadmap to gauge demand transference within product portfolios
  • Estimate sales impact results with bounce-back rates
  • Design data-driven pricing and promotional strategies to drive sales
  • Leverage time-series cannibalization modeling to gauge the real dollar impact of new product launches on the existing products
  • Accurately model the short- and long-term implications of new product launches on the generated ROI

Request a FREE solution demo to gain limited period access to our advanced analytics platforms.

social media sentiment analysis

Social Media Sentiment Analysis: How it Helped an Entertainment and Sports Technology Company to Glean Insights into Customer Requirements

Social Media Sentiment Analysis Engagement Summary

Entertainment and sports technology companies are the constant lookout for new opportunities to bridge the gap between online and offline channels and customer service requirements. In an effort to improve customer engagement and drive satisfaction levels they are now experimenting with new technologies and applications that leverage advanced statistics and NLP to extract data-driven insights.

At Quantzig, we helped a leading entertainment and sports technology firm to analyze customer sentiments across channels using advanced social media sentiment analysis solutions. As a part of this engagement, we adopted a comprehensive three-phased approach to set up a social media data analytics framework. The engagement began with a detailed analysis of the client’s challenges. To help them tackle their issues, our social media sentiment analysis experts set out to identify, extract, and aggregate customer data using custom analytics techniques and tools that offered comprehensive insights to act on.

With the emergence of new tools and advanced technology, where should entertainment and sports technology companies focus their investments?

Request a FREE proposal for tailored recommendations and comprehensive solution insights.

Importance of Social Media Sentiment Analysis


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?

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Benefits of Using Predictive Analytics in the Industrial Gas Manufacturing Sector


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

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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.


  • 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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