How Levity Helps Identify Automation Opportunities in Email Inboxes

Levity identifies automation opportunities by analyzing your email inboxes at scale, then surfacing the repetitive requests, handoffs, and bottlenecks worth automating. Its Control Tower and Analytics dashboards turn millions of emails into measurable categories and trends, and an Ask AI feature lets you query that operational data in natural language. This is aimed at teams running high-volume, complex logistics communication — for example, track-and-trace, booking, pricing, and customs requests — where manual triage hides where automation would pay off.

The problem it targets

In logistics operations, automation potential is usually invisible. Requests arrive as unstructured emails, get forwarded between people, and stall at handoffs. Levity's stated approach is to not "bolt AI onto chaos" but to first measure the work, then redesign it so humans and AI run it together. The identification step is what makes that possible: you can't prioritize a workflow you can't see.

How the discovery process works

1. Analyze inboxes at scale

Levity's Analytics layer is described as discovering automation potential "across millions of emails by spotting repetitive requests, handoffs, and bottlenecks at scale." The dashboard shown in the source material monitors general email data, including:

• Incoming emails (daily) — a line chart tracking volume over time
• Emails processed last 30 days — a headline count (the example shows 8,240,312 emails)
• Emails by category — a donut chart breaking volume into types such as Track and Trace, Booking, Pricing & Quoting, Damage Claims, Customs, and General Inquiry
• Shipment status sub-types — ETA Updates, POD Requests, and Exceptions
• Internal vs. external emails — a monthly breakdown showing the share of internal versus external communication

This categorization is the core mechanism: once email volume is grouped by request type, you can see which categories are large, repetitive, and therefore candidates for automation.

2. Track operational performance in real time

The Control Tower view is described as tracking operational performance and automation impact in real time. This matters for prioritization because it shows not just what's coming in, but how the operation is responding — so you can compare categories and spot where volume and manual effort are both high.

3. Ask questions in natural language

Ask AI (also labeled "Chat with your Data") lets you ask questions and explore operational data using natural language. Instead of building a report, you can query the same email data directly — useful for testing a hypothesis like whether a specific request type is growing or concentrated in one region.

4. Find and prioritize opportunities

Levity's Find Automation Opportunities capability is described as identifying and prioritizing high-impact workflows worth automating. This is the output of the discovery process: a ranked shortlist rather than a raw data dump.

From discovery to running automation

Discovery is the first of three stages in Levity's model:

The Analyze stage is what answers "where should we automate?" — and it feeds directly into Build, so the workflows you choose are grounded in measured email volume rather than guesswork.

What this means in practice

If you're evaluating whether Levity fits, the relevant question is whether your automation bottleneck is knowing where to start. Levity's discovery layer is designed for teams with large email volumes and many request categories, where the repetitive work is real but not obvious from the inbox alone. The example dashboard in the source material — 8.2M emails categorized across track-and-trace, booking, pricing, customs, and claims — illustrates the scale it's built for.

For a concrete test: take one high-volume category (for example, Track and Trace or POD Requests), check how it splits between internal and external senders, and ask whether the repetitive portion could be handled by an automation. Levity's Analytics and Ask AI are the tools for answering that before you commit to building.

Note that the source material describes capabilities and shows dashboard examples but does not publish pricing or plan details, so cost and access terms would need to be confirmed directly with Levity.