Analytics Solution

Supply Chain Analytics

Organizations utilize supply chain analytics to anticipate shifts in demand, proactively manage resources, mitigate potential risks, and improve efficiencies throughout their entire supply chain ecosystem.


The Supply Chain landscape

Supply chains operate in diverse and unique landscapes. The complexity of most supply chains, whether global or sectorial, is due to the fact that the “chain” is made up of several functions inside an organization. One small change in the market can cause reverberating effects throughout this complex ecosystem.

Here’s a quick look into the supply chain ecosystem and the benefits of advanced analytics in each of these functions.

Supply Chain Landscape

A Complex Ecosystem

supply-chain-landscape-complex-ecosystem

Finance

In Supply Chain

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With advanced analytics, finance teams may accurately forecast demand, report and allocate across transfers, meet various global tax regulations, and audit suppliers for fair employment, sustainability and green initiative compliance.

Sales & Operations Planning

In Supply Chain

supply-chain-sop

Sales and operations planning teams, enabled with advanced analytics, track real-time supply chain deviations, select suppliers and materials, predict risk management, and model and understand the cost of current and future supplies.

With this data, brick and mortar locations may predict supply, optimize product placement, determine pricing, and even anticipate future purchasing behaviors based on historical on-site user behaviors.

Finally, marketing teams that perform predictive analytics, enriched with additional data points like sentiment, search, and website analysis, may hyper target users across channels to further encourage purchasing behaviors while ensuring high ROI.

Employee Resources

In Supply Chain

employee-resourcing-supply-chain

HR teams who use advanced analytics may optimize employee resources and make informed decisions on talent acquisition, analyze potential up-skilling opportunities inside the supply chain, and retool current employees for modern applications.

Manufacturing

In Supply Chain

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Manufacturing teams, enabled with advanced analytics, improve the manufacturing processes through real-time product quality and defect reporting, and, with the advent of IoT and smart sensors, may even trigger the automatic manufacturing of parts to replace broken pieces immediately after defects are detected.

Smart Technology

In Supply Chain

supply-chain-smart-tech

Teams that use advanced analytics with the data captured by smart technologies and IIoT (Industrial Internet of Things) may augment their decision making across the supply chain. These augmentations include optimizing maintenance and service requests, upskilling handlers and operators, and designing an overall safer model for all functions within the ecosystem.

Logistics

In Supply Chain

supply-chain-logistics

Logistics teams who utilize advanced analytics are able to quickly identify inefficiencies and optimize performance across their warehousing, transportation, fulfillment, and distribution networks. These optimizations may result in reduced customer wait times, direct real-time deliveries in fewer attempts, and cost savings by reducing fuel spend through strategic shipping options.

An organization’s ability to react to rapid shifts in the market is dependent on their successful analysis of the data that’s produced from each of these disparate functions. Rapid shifts in supply chains, like COVID-19, are forcing data scientists, analysts, and business leaders alike to invest in data science and analytic technologies.  


Recent advancements in analytics, like the introduction of Analytic Process Automation, are already producing immediate cost savings, increasing efficiencies, shrinking delivery times, and giving organizations the ability to proactively predict and manage volatility.

With the right analytics strategy and data, organizations can empower their supply chains for success, both in times of financial stability and economic downturns.

Case Study

Read how Coca-Cola uses Alteryx to merge, prepare, and analyze data from multiple disparate sources, making insights accessible across the organization.

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Supply Chain Challenges

Autonomous vehicles. Shrinking delivery time frames. Carbon and low-sulfur regulations. Demand volatility. Sourcing, manufacturing, and warehousing constraints. These are some of the challenges facing the supply chain in 2020 and beyond. 

The good news is that proper investment in and dedication to building your supply chain analytics infrastructure can help you predict and thus mitigate or eliminate these challenges.

Here's a look at some of the challenges that can affect cost control, planning and risk management, supplier-partner relationships, and consumer demands. 

 

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On-Demand Webinar

Managing Supply Chain Challenges with Self-Service Analytics

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On-Demand Webinar

Managing Supply Chain Challenges with Self-Service Analytics

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1

Demand Volatility

A lack of resources, demand for essential items, upstream supply fluctuations, economic downturns, competitor products, natural disasters, or even the power going out for a few hours can all cause immediate and long-lasting setbacks.

To combat this, organizations are leaning on predictive and prescriptive analytics, machine learning, AI, and augmentation to provide clear solutions both for the sudden issues and the potential issues down the road.

This includes shortening the time to production, determining the best way to buffer supplies and inventory, and automating processes to navigate shortages in supplies.

 

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On-Demand Webinar

Reshaping Demand Forecasts for the New Normal

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On-Demand Webinar

Reshaping Demand Forecasts for the New Normal

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2

Sourcing, Manufacturing and Warehousing Constraints

To drive down costs and uncover new sources of revenue, supply chain managers and leaders can implement strategies to source the most cost-effective materials, streamline manufacturing processes, and locate the ideal warehouses to store inventory — or pump the brakes on all the above to prevent overspending on unused inventory.

 

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On-Demand Webinar

Optimizing Your Healthcare Supply Chain Amidst Disruption

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On-Demand Webinar

Optimizing Your Healthcare Supply Chain Amidst Disruption

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3

Roadblocks with Transportation

Automation isn't just enhancing supply chain analytics strategies for organizations, it's enhancing transportation. Many companies are already testing out free or low-cost one-day shipping options. Some are testing out driverless cars and fleets for transporting people and products. Tack on the continuous regulations to carbon and sulfur emissions, and suddenly, one transportation option, while faster, might not always be cheaper.

Data analytics is taking the mental work out of finding all the possible combinations and determining the best mode(s) of transportation. Prescriptive analytics can help project how these methods will change based on projections for improved fuel standards, costs of transportation, and automation.

 

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On-Demand Webinar

Using Spatial Data to Optimize Routing and Shipping Processes

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On-Demand Webinar

Using Spatial Data to Optimize Routing and Shipping Processes

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The Future of Supply Chain

The future of supply chain belongs to the companies that focus on a strong analytics strategy built around Analytic Process Automation (APA). APA converges three key pillars of automation and digital transformation to enable the democracy of data and analytics, the automation of business processes, and the upskilling of people for quick wins and transformative outcomes.

Introducing Analytic Process Automation

Within the supply chain, data accessibility and automated processes is critical at every step of the analytics lifecycle to quickly respond to market shifts and mitigate risks. Hours of delays due to lack of insights, planning and the inability to make a decision can cost global organizations millions of dollars a day.

Moreover, as new technologies arise, so do the needs to upskill the people throughout the supply chain ecosystem, from the shipping docks to logistic management. Enabling these professionals to use data daily as they make critical decisions is an imperative in the foreseeable future.

Sure, no one can predict everything, but with the right analytics strategy, you can start to put measures in place today to give your organization an advantage down the road. 

Empowering Your Supply Chain with Alteryx

The Alteryx Analytic Process Automation Platform empowers business users and analysts alike to connect and share high volumes of disparate data, in a variety of different formats, spread throughout the supply chain, with ease. With code-free and assisted modeling capabilities, Alteryx unleashes the power of data management, preparation, and advanced analytics across the organization.

 

Organizations that invest in integrated automation platforms that span analytics, data science, AI, and process automation will extend the reach of their transformation initiatives and build a sustainable competitive advantage.

— John Santaferraro, Research Director, Analytics, Business Intelligence, and Data Management, EMA

 

Starter Kit

Supply Chain Analytics Starter Kit

Download the Supply Chain Starter Kit and get up and running with repeatable workflows that will put your analysis on autopilot so you can focus on optimizing other aspects of the supply chain process.

Start Solving

1:1 Solution Session

Meet directly with an Alteryx Engineer in a 1:1 session and learn how we can help you solve your toughest supply chain challenges.

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