Use Case
With volatility in material costs comes increased uncertainty about managing the supply chain. Analytics offers the potential to automatically combine data across operations and provide insights managers can use to contain costs and accurately predict future needs.
Bottom-Line Returns
Ensure costs are optimized in the short term and better predict changing costs into the future
Efficiency Gains
Improve process for blending data to fully understand total cost of materials
Risk Reduction
Reduce chance of excluding signals that indicate cost increases or volatility
Business Problem
As your supply chains grow in steps and complexity, how do you keep up with the data they generate at every step? Historical data is as important as current data, but even if you can access all of it, are you really able to use all of it to make decisions? And how do you factor in external data?
The goal of supply chain cost optimization is to reduce spend and maximize efficiency from vendor sources to the point of production. Most analysts, however, spend far more time finding, cleaning, and preparing data from multiple sources than using it. Stuck with spreadsheets as their go-to analysis tool, they manually blend vendor lists with product and pricing data into models that they regularly need to recreate.
Alteryx Solution
Through analytics and automation, companies introduce repeatability and accuracy to the process of optimizing supply chain costs. Workflows relieve the burdensome, error-prone process of pulling data from multiple sources into a model for making decisions on supplier standardization, conversion, and cost information. Low-code/no-code analytics enables analysts to build solutions quickly and get data into the hands of decision makers.
Automation accelerates the process of cleansing and prepping data and increases accuracy by eliminating manual steps. Advanced analytics allows companies to reap the benefits of lower costs along the supply chain, better inventory management, more efficient request-for-proposal processes, and better use of analysts’ time.
- Download the Alteryx Supply Chain Starter Kit to get started optimizing inventory or creating demand prediction models
- Automate connection to data sources along the supply chain, and inventory or demand model outputs, and automatically blend that data to create a full view of total operations costs
- Feed data into the Optimization Tool to fully optimize supply chain costs
1 – Data Connection
Automatically connect to 80+ data sources all along the supply chain
2 – Optimization
Effortlessly connect outputs to dashboards, or operationalize models in procurement and operations plans
3 – Data Visualization
- Open rate is lower than 0.5%
- Segment is unlikely to justify time, effort, or expense
Customer Success Stories
Customer Story
Armor Express Uses Predictive Supply Chain Analytics to Help Protect More Lives
Armor Express took predictive modeling to the next level with real-time data feeds that inform supply chains — saving $500k through inventory optimization.
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Customer Story
From problem-solving designs to problem-solving analytics at MillerKnoll
MillerKnoll established an end-to-end analytics architecture to analyze disparate data, and a COE for workforce upskilling — making $300k in annual cost-of-good savings.
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Customer Story
AGC Uses Alteryx to Transform the Business and Maintain Pole Position
AGC Inc. was founded in 1907 and succeeded in becoming Japan's first industrial producer of flat-glass.
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