Supply Chain Optimization
Use an integrated, market-driven approach to manage your supply chain.
How SAS® Delivers Supply Chain Optimization
SAS provides precise forecasting, demand sensing and demand shaping capabilities based on up-to-date, accurate data. The result? Inventory that’s balanced with demand in near-real time and supply plans aligned with demand forecasts.
Demand-driven planning
- Generate accurate forecasts at every level. Even for individual SKUs.
- Use time-series forecasting to build models that reflect your business realities, taking into account intermittent demand, new product launches, pricing, promotions – even weather.
- Use sophisticated optimization algorithms to compare and adjust forecasts so you can choose the best strategy.
Multiechelon inventory optimization
- Manage production and logistics to match fluctuating customer needs and changing marketplace dynamics.
- Calculate optimal inventory policies using multiechelon optimization with state-of-the-art simulation.
- Use predictive modeling and what-if analysis to determine how different variables will affect the supply/demand balance.
Demand sensing & shaping
- Sense demand signals that indicate marketplace changes faster.
- Translate demand signals – like seasonality, price, promotions, events and merchandising – into a more effective, market-driven response.
- Take a visual approach to analyzing demand data to unearth patterns and insights regarding sales, shipments, pricing, promotions and operational, category or regional performance.
CUSTOMER SUCCESS
Working Smarter With SAS®
Amway China
Improving replenishment time by 20% and achieving 97% customer satisfaction
SAS helped the largest direct seller in China create a more effective replenishment policy for reorder, order-up-to and required quantity levels that can pinpoint each product in each warehouse and store, adjusting dynamically to market changes over time.
Keeping fresh products on the shelves
To deliver on its promise of “Good Food, Good Life,” Nestlé – the world's biggest food company – relies on accurate forecasting and demand planning from SAS to ensure products are available when customers want them.
Improving forecast accuracy by 10%, resulting in less excess inventory and less inventory ending up in the wrong places, by:
SAS helped a multinational appliance manufacturer:
- Replace manual spreadsheet forecasts with an automated solution that helped reduce inventory by more than 12% and boost revenue by 1%.
- Optimize inventory throughout its North American factories, keeping product availability above 93%, versus 63% the previous year.
- Achieve higher service levels and lower levels of working capital.
