Information Chains: Disentangling Roadblocks to Digitalization in Logistics

Jan 09, 2023

Speaker/s

Jaison Augustine

EVP & Head of the Shipping & Logistics Business Unit, WNS

Key Points

As businesses embraced the digital revolution over the last decade, many elements in the supply chain workflow have been streamlined and new pathways created, connecting a notoriously fractured industry in ways that couldn’t have been imagined before. Whether it is the rise of ecommerce and last mile delivery, the growing prominence of big data and analytics and a revolution in supply chain visibility, progress is undoubtedly being made rapidly. However, many problems from the past continue to plague the industry. Large areas of the supply chain continue to be inefficient and manual intensive for shippers and logistics service providers. The challenge for our industry is one of streamlining the flow of information, documents and communication, so that we can deliver on the promise of innovation, in this brave new digital age.

This webinar will examine the current frustrations within the industry and examine how we can advance even faster to a digitally led but human assisted environment, where data, tech and AI take center stage to realize even better business outcomes.

The Journal of Commerce is joined by executives from WNS in this webinar to discuss how Shipping & Logistic companies can rethink, reimagine, and reform the complete ecosystem in this new normal.

Join us to explore:

Practical strategies companies have deployed to make information digital
How to drive change management across stakeholders
Digital point solutions
The economics of digitalization

Speakers

Jaison Augustine
EVP & Head of the Shipping & Logistics Business Unit, WNS

Mike Santimaw
Chief Digital Officer, MODE Global

Moderator

Alessandra Barrett
Assoc. Director, Special Projects, JOC S&P Global

FAQs

1. How can logistics companies overcome information silos and accelerate digital transformation?

Logistics companies can overcome information silos by connecting fragmented systems, digitizing document-intensive workflows, standardizing data exchange, and improving collaboration across shippers, carriers, and logistics partners. WNS (Part of Capgemini) helps organizations explore digitally enabled, human-assisted operating models that improve information flow, visibility, and operational decision-making.

2. What is the business case for digitalization in shipping and logistics?

The business case for digitalization includes reducing manual effort, improving process efficiency, minimizing information-related delays, and enabling faster, data-driven decisions. Decision-makers should evaluate the potential return on investment through measurable indicators such as processing time, cost per transaction, error rates, productivity, and service performance.

3. How can logistics companies integrate digital solutions with legacy systems and existing workflows?

A phased integration strategy can help logistics companies connect existing systems with digital solutions while minimizing operational disruption. Priorities include interoperability, standardized data, API-led integration where appropriate, workflow alignment, and scalable architecture. WNS (Part of Capgemini) emphasizes a business-outcome-led approach to digital transformation, helping organizations align technology investments with operational priorities.

4. How can logistics leaders drive digital adoption across multiple stakeholders?

Successful adoption requires clear ownership, stakeholder alignment, employee training, effective change management, and collaboration across the logistics ecosystem. Leaders should establish shared objectives, define new ways of working, and track adoption alongside operational KPIs to ensure digital initiatives deliver sustainable business value.

5. How can AI, data, and automation improve decision-making in shipping and logistics?

AI, analytics, and automation can help logistics organizations process information faster, identify operational exceptions, improve shipment visibility, and support timely decisions. Combining these capabilities with human oversight and reliable data can help organizations move beyond isolated automation initiatives toward more connected, responsive operations.