LOGISTICS
To build for flexibility , you need to understand the behaviour of businesses and customers , for which you need AI and machine learning , and through which you can learn delivery and transport patterns , as well as begin parsing-out verticals .
Then you need to build customisation to legislate for the differences . For example , if you ’ re serving grocery stores your technology needs a blend of on-demand , same-day , long-term scheduled delivery or pick-up . If you ’ re fulfilling restaurant deliveries , you should recognise that catering is an entirely different logistics model . It ’ s scheduled more in advance than your average food delivery , and requires larger vehicles , power to keep the food warm for long periods , or even refrigerated trucks .
RO : Logistics companies are taking steps to adapt and onboard omnichannel practices by improving delivery experience . We ’ re seeing innovation that improves navigation for more efficient routing , crowdsourced drivers , and advanced capabilities that improve the tracking and management of deliveries , for example .
70 January 2023