More than two -thirds of the transport and logistical services organizations (T&L) and about half of the manufacturers publish artificial intelligence (AI) for stock management, prediction of demand, and predictive analyzes, according to a study by Zebra Technologies Corp.
Zebra said that the study shows how to improve the progress of the front lines with modern technologies such as artificial intelligence, automation and data improves profitability and enhances customer experience. Specifically, the organizations that adopt what a brutal donkey call “smart operations” for great gains:
- Retail dealers achieved up to 1.8 points per point in the growth of revenues and profitability through improvements in their priority workflow for stock management.
- Manufacturers have witnessed the improvement of the highest quality workflow and the guarantee of revenue growth by 2.4 points and profitability improvements of 1.4 percentage.
- T & L companies have seen the main delivery and inventory workflow increased revenue growth of 3.4 degrees Celsius with a similar increase in profitability.
“The retail, manufacturing and logistical services are redefined at the level of workflow – where speed, vision, accuracy of growth, raising the productivity of the front lines and improving customer experiences,” Joe White, the chief product and solution employee in Zebra, said in a statement. “Smart operations simplify the complexity by combining the best advanced technologies with people on the front lines, allowing organizations to adapt to rapid change and prosperity in competitive markets.”
When searching for the responses of transport companies and logistics, Zebra asked these respondents to include their higher priorities at work during the next three years, and found that it was:
- Improving operational and productive efficiency (48 %)
- Increased profitability and return on investment (ROI) (47 %)
- Enhance the Supply Series Vision (37 %)
- Improving customer experience and consent (34 %)
- Improving stock and management accuracy (34 %)
The study also found that the best data management is necessary to achieve more workflow workflow over the next three years, especially in priority areas such as improving operational efficiency (48 %), a better understanding of the problems and chain chain chain chain (37 %), the happiest customers (34 %), and promoting the accuracy of stock and management (34 %).
However, some of the higher barriers that prevent improved workflow involves dealing with change, including the high cost of training or street workers (chosen by 41 % of the respondents) and the difficulty of promotion or integration with old technology (36 %).
The research, which was conducted in cooperation with the Oxford economy, combined with participants’ polls including 1000 senior leaders throughout the retail sale (400), manufacturing (400), and T&L (200) from the United States and Mexico, the United Kingdom, Germany, India, Australia and New Zelanda.
