Delhivery's AI roadmap, built in weeks

Delhivery is India's largest integrated third-party logistics provider, operating express parcels, warehousing, cross-border freight, fulfillment, and supply chain services at national scale. With nearly 100,000 employees and operations spanning thousands of distribution and fulfillment centers, Delhivery moves a billion shipments annually. At that scale, the cost of inefficiency as well as the upside of automation is enormous.

20

Teams mapped, no integrations

8

Automation blueprints surfaced

25%

Of tracked time in top 3 automations

Weeks

To first insight

The Challenge

Scaling AI adoption across a fast-moving, cross-functional organization

Delhivery's VP of AI arrived with a clear mandate: quickly identify and build the highest-ROI automation opportunities across their business.

Delhivery operations work spans a wide variety of domains from key account management to supply chain, and most of it is done manually via proprietary internal platforms. To discover automation opportunities across a complex organization, Delhivery was already running internal AI hackathons, actively pushing teams to identify and build automations for this work. However, leadership wanted more data to know exactly which workflows to automate first, and which inefficiencies could instead be resolved through smarter process design alone.

Delhivery was running an internal AI hackathon to push teams toward automation. The challenge: teams were enthusiastic but had no grounding in where to start. Worktrace changed that dynamic. Instead of teams pitching automations based on gut feel, they could point to workflow data, actual hours, actual steps, actual bottlenecks. The hackathon became a much more productive, evidence-driven conversation.

The Deployment

From zero visibility to workflows, automation recommendations, and blueprints

Because Worktrace did not require any custom integrations, deployment started immediately. The desktop app ran in the background, capturing real work as it happened across all tools, both internal and third-party tools.

Deployment started with a focused pilot cohort of KAM and CX users to establish a baseline. Once Worktrace showed it can continuously deliver actionable insights, the deployment was expanded to over 20 teams, including security, supply chain, and operations. Worktrace surfaced top automated workflows in unprecedented detail for these teams. With Delhivery, Worktrace also launched the Missions feature, allowing leaders to define strategic goals and view automation opportunities and exportable agent blueprints tailored to those goals.

What Worktrace Revealed

The evidence to know where to focus

Delhivery came in knowing they wanted to move fast. What Worktrace gave them was the evidence to know where to focus their automation efforts.

1. A prioritized automation roadmap

Worktrace surfaced 8 high-priority automation blueprints with detailed SOPs, exportable to n8n, Crew AI, or any builder. The top 3 automations cover over 25% of tracked time, pointing the AI team to where their building efforts will provide the most value.

When Worktrace analyzed 30 days of real work across Delhivery's Security UTR team, three automations rose to the top from 550 workflows. These automation opportunities came from data, not guesswork.

Shipment-Escalation Triage Agent, eliminating 12.5% of team time spent monitoring inboxes, chasing waybills, and drafting replies by hand
Daily Aging and Exception Report Builder, replacing 6.8% of team time spent in repetitive data pulls, pandas transforms, and pivot table work
Bulk HQ Status-Update Pipeline, replacing 5.3% of time spent on CSV-driven package status workflows with a single slash command

With Worktrace, the Delhivery security UTR team found that with just three weeks of automation building time, a quarter of their team's time could be freed.

2. Product gaps identified, no agent needed

One of the most valuable insights to Delhivery wasn't just the automation blueprints. In addition to automation opportunities, Worktrace also identified internal process and product improvements that could be shipped without AI, saving engineering cycles before a single automation is built.

Worktrace surfaced patterns where teams were doing manual workarounds not because automation was needed, but because a UI was missing a field, a report wasn't exportable, or a process step had no system support. Fixing those didn't require AI. It required a product sprint. That realization shifted how the team thought about the entire automation roadmap.

"Equally valuable was a set of product gaps we could close ourselves, without needing to build agents at all. It didn't just tell us what to automate. It told us what to fix first." — Director of Product, Delhivery

3. Workflow visibility at scale

Within a week, Worktrace generated Delhivery's first data-backed picture of how work actually flowed across 20 distributed teams. This required zero surveys or shadowing, but instead used live observation across the tools people use every day.

"Within weeks, we had a clear picture of workflows across ~20 teams and 8-10 high-priority automation and agent blueprints ready to act on." — Director of Product, Delhivery

The Bigger Picture

AI strategy, grounded in reality

Delhivery set a high bar from the start: they weren't merely looking to invest in AI, they were looking for impact. Worktrace gave their AI team a roadmap built from evidence, not assumptions.

Most teams jump into building without a credible roadmap. Others spend months of expensive cross-functional interviewing and shadowing. Worktrace delivered this roadmap observing how employees at a 100,000 person organization work, every day.

Through their engagement with Worktrace, Delhivery is now armed with a pipeline of automations to transform their business.