Process manufacturing is highly automated, more dependent upon large expensive assets (equipment) in the manufacturing process itself, rather than people — unlike discrete manufacturers. But manufacturers in the consumer packaged goods sector share the challenges of both process and discrete manufacturing: highly automated and machinery-focused on the production line, but very people and labor intensive in the warehouse and distribution operations.
There are two categories of consumer-packaged goods (CPG) manufacturing: perishable (or produce to order) and non-perishable (produce to inventory). Produce to order manufacturers, typically in the food and beverage sector, are dealing with inventory that must be delivered immediately (such as bread, fresh fruit juice, milk or doughnuts) due to a very short shelf life. Many CPG/F&B manufacturers are implementing enterprise mobility solutions to address the speciﬁc issues they are facing as well as to improve data collection processes, reduce errors and improve accuracy overall and ﬁnally to squeeze out any remaining inefﬁciencies inherent in paper-based processes.
This paper explores how real-time data strengthens the ability to properly forecast store orders, positively impacting inventory requirements, profitability and ultimately cash flow.