Optimize working capital and service levels by aligning inventory with true demand. Alteryx unifies data, models scenarios, and automates forecasting so teams can surface risks, simulate safety stock, and make faster, more resilient decisions.
Efficient inventory management is vital for reducing supply chain costs. For example, BCG reports that AI can unlock 15–30% inventory reduction, a direct cash benefit while improving service. Similarly, McKinsey reports that AI-enabled demand planning can cut inventory 20–30% and boost fill rates. However, data and processes remain fragmented across ERP, WMS, and supplier systems, making it hard to model volatility or align safety stock with shifting demand. Without governed, AI-ready inputs, organizations risk chronic shortages, costly excess, and slower decisions that hurt resilience and service performance.
Persistent stockouts undermine OTIF and SLA commitments, reducing customer trust, loyalty, and service reliability — and losing sales opportunities.
Excess inventory traps working capital, accelerates obsolescence, and inflates markdown costs, hurting flexibility and financial performance.
Static safety stock and reorder rules ignore demand variability and lead time shifts, leading to higher costs and frequent service failures.
Fragmented, context-poor datasets limit AI’s ability to generate accurate forecasts, blocking smarter, data-driven inventory optimization strategies.
Without lineage and controls, AI initiatives lack trust and compliance, exposing organizations to inconsistent results and regulatory risk.
Disconnected systems obscure node-to-node inventory flows, while data sitting in cloud platforms delivers no usable supply chain insight.
Alteryx empowers supply chain analysts, inventory managers, and data-driven decision-makers to progress beyond basic data formatting and into advanced analytics. By leveraging features including generative AI and CDW integration within the Alteryx’s platform, businesses can surface valuable insights faster, optimize operations, and adapt to change — all while excelling in transparency and governance.
Integrated data access
Unifies ERP, supplier, warehouse, and sales data into one trusted inventory dataset
Automated workflows
Refreshes forecasts, updates stock levels, and optimizes replenishment without manual effort
Advanced analytics & AI
Runs predictive models for safety stock, SKU tracking, and disruption scenarios
Governance
Applies audit trails to inventory pipelines, ensuring accuracy and compliance
Lower carrying costs from reduced excess stock and faster turns
Fewer stockouts and backorders for improved OTIF and SLA performance
Shorter planning cycles for faster decisions
Scalable, auditable processes that replace spreadsheets and manual reconciliation
saved by building reports in house
“Before it would have taken me a year to create this one report on 5-year forecasts and now we can run 3,300 active material numbers in less than 3 minutes. The time savings that we’ve experienced with just this one report is astronomical.”
Byron Waugh, Demand Planning and Forecasting Manager
SaskTel
saved through inventory optimization
“Our model in Alteryx is constantly making predictions based on thousands of variables — from product data to raw material supplies. The data we get is accurate and powerful when combined with our procurement and manufacturing teams’ knowledge.”
Jeff Gordon, Director of Procurement, Warehousing, and Analytics
Armor Express
personalized inventory-optimization reports
“The fact that I could process over 4.5 million rows of data from separate datasets without writing a single line of code was just incredible. From that moment on, I was hooked.”
Jay Caplan, Senior Business Analytics Manager
Coca-Cola
Manufacturing, retail & CPG, supply chain, and finance teams use Alteryx to cut costs, prevent stockouts, and optimize inventory strategies
Automate cleaning and merging of siloed sources, making them usable for inventory planning. Integrate geospatial or BOM details, cutting weeks of manual work into minutes and enabling more accurate fulfillment decisions.
Move beyond historical averages by blending demand signals, promotions, and sentiment. Use advanced forecasting and generative AI to align stock with dynamic markets, improving accuracy and reducing mismatches in planning.
Replace fixed rules with flexible models tailored to risk and customer needs. Compare methods in Alteryx, experiment with AI connectors, and balance service with cost to set smarter, more accurate safety stock.
Track stock by SKU across warehouses, highlighting slow movers and replenishment needs. Location intelligence enables smarter transfers, optimized movement, and faster fulfillment — while lowering costs through efficient stock reallocation.
Create governed, contextual datasets that fuel AI tools with reliable inputs. Ensure data is auditable and structured, so LLMs generate trustworthy recommendations for inventory optimization and scenario planning.
