Abstract
Last holiday season, many retailers and their suppliers were shocked by 11th hour shifts in demand, with much of the surprise coming from a surge in e-commerce orders. As recently as a decade ago, it wasn't unusual for businesses to be hit with much larger or smaller orders than they had been expecting -- and for those orders to arrive earlier or later than anticipated. But since then, the discipline of forecasting has improved markedly, with mathematically tractable models providing more useful predictions of demand. With the rush of so-called "big data" -- notably the escalation of real-time data -- now available for demand forecasting, new toolsets are required to drive advanced inventory planning. Demand sensing technology has already been adopted by companies that are recognized as having the most progressively managed supply chains. Indeed, investments in demand sensing solutions are growing more rapidly than supply chain spending in general.
Original language | American English |
---|---|
Pages (from-to) | 18-22 |
Number of pages | 5 |
Journal | Supply Chain Management Review |
Volume | 18 |
Issue number | 3 |
State | Published - May 2014 |
ASJC Scopus Subject Areas
- Business, Management and Accounting (miscellaneous)
- retail
- supply chain
- software & systems
Keywords
- Software
- Retail stores
- Profit margins
- Retailing
- Packaged goods
- sales
- inventory
- demand
- Supply chain management
- food
- forecasting
- Public companies
Disciplines
- Business Administration, Management, and Operations
- Operations and Supply Chain Management
- Sales and Merchandising