Our Customers, Case Studies, and Industries
Theirs is a highly demanding market often requiring engineered-to-order systems with exceptional performance and rapid delivery cycles. Kratos pursued a hybrid planning approach, combining sales planning by its business development team with statistical forecasting from Smart Software.
Rose Brand selected demand and inventory planning software from Smart Software as the foundation for a methodical planning process. This enabled them to effectively implement Min/Max inventory planning, setting optimal Minimum On-Hand values and order quantities.
Rev-A-Shelf, the leading US Manufacturer of home storage accessory items, uses Smart to optimize inventory and meet its 3-day shipment guarantee despite fluctuating supplier lead times.
Read how Bedoukian Research, a manufacturer of specialty chemicals used in fragrances and flavors by customers worldwide, is using Smart’s intermittent demand forecasting technology to improve inventory management and consistently achieve targeted customer service levels.
Learn how Montreal Transit Corporation’s, one of Canada’s largest Transit Organizations with an operating a fleet of 1,680 buses and 84 subway trains, utilized SmartForecasts as part of a revamped inventory management process to improve service levels and drive down inventory.
Using Smart IP&O, BC Transit was able to forecast the financial impact of stocking decisions. They are able to balance capacity against criticality and the cost of inventory. They have been able to reduce the number of orders, determine optimal order quantities, and deal with variability of lead time – especially long lead times.
Read how Prevost Parts, the parts division of Canadian bus manufacturer Prevost Car, uses Smart to more effectively distribute parts for the North American motorcoach and transit bus markets. Learn why Prevost selected Smart over SAP’s demand planning application and how it has reduced inventory and transportation costs while improving customer service.
Minnesota Metro Transit deployed SmartForecasts to handle intermittent demand for equipment parts at the public transit system. Nucleus Research found that the inventory optimization application reduced parts inventory, emergency transshipments, and purchase requisitions while increasing perfect-order levels, resulting in higher equipment uptime for the transit system.
Forum Energy Technologies’ Valve Solutions Division transformed its demand planning process, improved its responsiveness to changing market conditions, and addressed the thorny problem of intermittent demand planning using Smart. Learn how.
Metro-North’s prime objective is to move people in a timely manner. Service outages resulting from imbalanced inventory – too much of some things, not enough of others – required a new approach. Learn how MNR applied Smart to improve planning for intermittently demanded service parts, increasing service levels while reducing inventory.
“Smart IP&O allowed us to transform our manually maintained stocking levels to a service level-based model that drove significant improvements in fill rates while optimizing total inventory on hand. The accurate forecasts of stocking levels provided fact-based data that allowed us to strategically phase the consolidation effort where warehouse space was at a premium”
“Whatever the request, we need to meet our next day service commitment – Smart enables us to risk adjust our inventory, to be sure we have the products and parts on hand to achieve the service levels our customers require.”
“Smart Software has brought capabilities that help us meet accelerating demand and expectations, and we look forward to pushing this envelope together in coming years.”
“Smart is the only one out there that has really licked the intermittent demand modeling challenge. We get accurate information and more importantly at the lowest dollar. Without Smart, I think we would have seen a continued growth in our inventory and not necessarily gotten any greater benefit for service.”
“Smart’s service level planning methodology has led to productive conversations between sales and supply chain and given us a platform or common ground from which we base our discussions.”
“The intermittent demand forecasting capability has been very useful. We’ve gone from forecasting our slow-moving items by hand with poor results to automatically generating highly accurate stocking level estimates. During a time of sales growth, we’ve been able to reduce finished goods inventory by 4%, raw materials inventory by 5% and decrease late shipments from 16% to 3%.”
Food & Beverage
Medical / Pharma / Life Science
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If you request a demo, one of our specialists will show you how Smart can help, using your own inventory data!