Belmont, Mass.—June 13, 2013—Smart Software Inc., a provider of demand forecasting, planning and inventory optimization solutions, announced that New Jersey Transit (NJT) purchased its SmartForecasts solution for its rail and bus operations as part of a company-wide service improvement and inventory reduction program.
“We have had several very strong successes helping transit systems improve their parts inventory planning and provide better service to their customers with better parts availability,” said Nelson Hartunian, Chief Executive Officer of Smart Software. “Organizations like New Jersey Transit are looking for ways to help them reduce their costs without negatively impacting customer service. With ridership trending up, this is ever more important. We look forward to helping NJT achieve its goals.”
NJT, which provides bus, rail and light rail transit and links major points in New Jersey, New York and Philadelphia, will use SmartForecasts to forecast parts consumption and inventory stocking requirements for its 40,000 active service/spare parts, valued at more than $100 million. Much of NJT’s inventory experiences erratic, intermittent demand which is especially difficult to forecast and can lead to significant over- and under-stocking of critical parts. Early results with SmartForecasts indicate the potential for substantial savings and service level improvements, once full-scale implementation is complete.
Smart Software will implement the NJT project in two stages. The first stage will focus on using SmartForecasts to identify immediate short-term benefits for key groups of parts; as well as measure the likely long-term benefits for NJT. In the second stage, SmartForecasts will be integrated into the day-to-day planning environment at New Jersey Transit.
SmartForecasts offers patented statistical solutions to forecast intermittent demand; as well as a complete suite of automated forecasting and planning methodologies. By automatically identifying the right method for each part, SmartForecasts can significantly reduce the amount of inventory required to meet a defined level of service.
