zeb wins AWS Rising Star Partner of the Year – Consulting Award

zeb Wins AWS Rising Star Partner of the Year – Consulting Award

How we optimized ServiceNow utilization for a leading logistics provider

The client is a prominent third-party logistics provider specializing in comprehensive supply chain management, from procurement to warehouse operations.

30%

Reduced licensing costs

60%

Increased self-service adoption

76%

Improved data accuracy

Streamlining warehouse operations with Azure Integration and Analytics

Industry

Transportation & Logistics

Service

ServiceNow Optimization & Automation

Tech Stack

ServiceNow HAM Pro, Employee Center (EC), CMDB, AI Virtual Agent, Knowledge Management

Challenges: Inefficient utilization and lack of automation

Despite having ServiceNow in place, the client faced several inefficiencies that hindered their ability to maximize ROI:

  • Underutilized Licenses and Redundant Roles: Inactive roles were consuming unnecessary licenses, leading to increased renewal costs.
  • Limited Portal Accessibility: The existing Service Portal lacked branding and essential self-service features, reducing user adoption.
  • Duplicate Data in CMDB: Configuration errors resulted in duplicate configuration items (CIs), affecting impact analysis and operational decision-making.
  • Absence of a Centralized Knowledge Base: Employees relied on support agents for routine queries, increasing resolution times.
  • Lack of Automation: Manual ticket handling created inefficiencies as support volume increased.

To address these challenges, the client partnered with zeb to optimize ServiceNow utilization, enhance automation, and implement a structured self-service framework for improved efficiency.

Solution: Optimizing ServiceNow for efficient license management, self-service, and automation

To address the fragmented customer service landscape, we established an AI-powered virtual agent roadmap—a strategic vision focused on automation, predictive AI, mobile access, and third-party integrations. This laid the foundation for a scalable, self-service–driven support model.

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