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user interface that simplifies end-to-end journey planning and payment . The ideal of being able to plan and manage a seamless multimodal journey is much more complex . MaaS has already seen higher demand as disruptions across public transport networks cause frustration and people seek alternative options . This has been shown by predictions in the market forecasting MaaS to be a $ 40.1 billion market by 2030 .
Additionally , growing public concern for sustainability - coupled with rising costs of running private vehicles - is causing travelers to look for greener and cheaper transport solutions . Transport providers must ensure they can provide the right level and sophistication of data to MaaS applications or risk being left out of the personal mobility loop .
Last mile competition escalates .
Logistics companies have been trying to solve the costly last-mile conundrum for decades , but the rise of omnichannel customer choices and greater competition means they must become increasingly flexible . Retailers that have seen recessionary are facing pressure to seek last-mile innovations that serve customer preferences while keeping costs under control as fuel and personnel costs grow increasingly unpredictable .
Whilst the shift to innovative possibilities such as electric vehicles and drone deliveries is essential , other solutions are emerging - such as crowdsourcing private couriers through Uber-style apps and setting up neighborhood collection points . Advanced data availability and real-time analysis fed into an original AI technology will be critical for these solutions so that logistics providers can ensure where goods are , what delivery options are available , and what costs might be incurred .
Supply chain disruption will drive innovation in the logistics sector .
Freight disruption is set to continue due to geopolitical risks , cyber threats and economic instability overall impacting supply chains and continuing to create bottlenecks . These problems need solutions such as agile alternative routing and advanced warehousing strategies to minimize the amount of disruption experienced by customers .
Companies need greater visibility and control over logistics flows and the ability to share this information with stakeholders in the product journey . Consequently , data availability , collation , and analysis capabilities are critical to enabling logistics companies to adjust processes in real-time to minimize costs and speed deliveries . The ability to pivot your operations ‘ real time ’ is for many still something of the promised land . Those that have structured their businesses around the data will be well positioned to win .
Unlocking this data won ’ t be without its challenges . Legacy technology , siloes , and the inability to open proprietary data to third parties all act as blockers . By building data platforms that work collaboratively with legacy systems , companies can remove the risks associated with rip-and-replace projects , while still evolving into more adaptive , responsive businesses that today ’ s volatile environment demands . ■
For a list of the sources used in this article , please contact the editor .
Richard Davies www . netcompany . com
Richard Davies is UK Managing Partner at Netcompany . Netcompany delivers business critical IT solutions and consultancy that helps customers to achieve significant business benefits in a digitized world . Netcompany also helps customers to manage and operate IT solutions both on location and in the cloud .
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