Supply Chain Analytics From SAS
Discover end-to-end supply chain scenario planning that spans organizational silos to optimize production plans, supplier collaboration and freight logistics – all based on our leading forecasting solution.
Cloud native forecasting for companies of any size
- Automatically generate statistically driven, weighted consensus forecasts.
- Monitor forecast performance to understand value added or lost at each step.
- Use out-of-the-box modeling strategies with predefined models.
Balance inventory supply with demand
- Manage production and logistics to match changing customer needs and market dynamics.
- Enable better insights and collaboration across trading partners with our flexible open analytics.
- Use predictive modeling and what-if analysis to simulate potential supply chain disruptions.
Integrated transportation management
- Align transportation capacity to the specific needs of your demand plan.
- Optimize on-time/in-full delivery performance to improve customer service and reduce penalties.
- Gain real-time visibility to standing and in-motion inventories, reducing raw material and finished goods needs.
Get to know supply chain analytics from SAS
Discover how supply chain analytics connects your entire logistics chain to allow agile management of your critical resources.
Why choose SAS for supply chain analytics?
Sense market signals that shape – and help you predict – demand. Unify data from across your organization and beyond. Then optimize responses throughout the supply chain.
Connect customer & supply chain intelligence
Seamlessly bring together market and consumer drivers, such as syndicated scanner data and social media sentiment, with machine learning models to connect shopper engagement to product demand.
Avoid under- or over-stocking inventory
Get near-real-time insight into supply and demand dynamics. Calculate optimal inventory before the fact using what-if event simulation.
Achieve better planning outcomes
Use time-series and machine learning forecasting that considers intermittent demand, new product launches and dropped items. Let the solution choose the best algorithms or build your own with SAS or open source models.
Customer Success
Working smarter with SAS
SAS helped a multinational appliance manufacturer increase profitability and optimize its supply chain by:
- Replacing manual spreadsheet forecasts with an automated solution that helped reduce inventory by more than 12% and boost revenue by 1%.
- Optimizing inventory throughout its North American factories, keeping product availability above 93%, versus 63% the previous year.
- Achieving higher service levels and lower levels of working capital.
Related retail & consumer goods solutions from SAS
View recommended supply chain analytics solutions
- SAS® Intelligent Planning SuiteAccurately forecast shopper and consumer demand by creating seamless merchandise and demand plans.
- SAS® Intelligent Planning CloudEnsure on-shelf availability through a hyperaccurate demand planning service.
- SAS® Intelligent DecisioningEasily create, manage and govern robust, analytically driven business rules to power decisioning at scale.
- Data Management SoftwareSupercharge your AI journey with seamless data connectivity, enhanced transformations and robust governance.
- Multichannel Marketing Hub | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a modern multichannel marketing hub.
- SAS® Analytics for IoTDrive innovation, efficiencies and results by putting IoT analytics in users' hands – from predictive maintenance at scale to superior process optimization and quality, flood prediction and preparedness, energy cost optimization and beyond.
- SAS® for Cold Chain IntegrityEnsure cold chain integrity to maintain product quality, minimize losses and avoid potential regulatory violations.
