Company Profile
Company Type
Last-mile delivery service
Team Size
20-100 employees
Industry
Logistics
Key Challenge
Struggling with inefficient manual email outreach processes that were slowing growth and increasing operational costs. Their primary concern was delivery time accuracy.
Tools Connected
The Challenge
With a growing prospect database of 10,000+ contacts, this last-mile delivery service couldn't scale their logistics email outreach without sacrificing quality. Their team of 20-100 employees was managing outreach campaigns across multiple segments, but the manual process created constant bottlenecks. Campaigns took weeks to plan, write, segment, and execute — by which time the market moment had often passed.
Follow-up sequences were the biggest gap. Only 23% of prospects received a second touchpoint within the first week, and multi-step nurture campaigns were practically non-existent. The team tracked engagement in spreadsheets, leading to duplicate sends, missed follow-ups, and embarrassing errors like emailing prospects who had already converted. In the logistics space, where relationships and timing matter enormously, this lack of systematic outreach was costing them an estimated $200K in annual pipeline.
The Solution
Arahi AI provided the automation backbone this logistics team needed. They deployed a multi-agent workflow that breaks the email outreach process into discrete, automated steps — each handled by a specialized AI agent. The first agent monitors triggers from ShipStation and Google Sheets. The second agent analyzes and processes incoming requests using logistics-specific business logic. The third agent executes actions across connected tools and notifies team members via Airtable.
The beauty of the no-code approach was speed of implementation. The team had their first agent live within 90 minutes, and the full email outreach workflow was operational within a single afternoon. They used Arahi AI's template for logistics email outreach as a starting point, customized the business rules to match their specific process, and connected their existing tool stack without writing a single line of code. Within the first week, the agents had processed over 200 email outreach instances with 99%+ accuracy — more than the team typically handled in a month.
The Results
Measurable improvements across key logistics email outreach metrics.
Email Open Rate
217% increase
Before
12%
After
38%
Reply Rate
8x improvement
Before
0.8%
After
7.2%
Campaign Launch Time
95% faster
Before
2-3 weeks
After
< 1 day
Follow-Up Coverage
100% coverage
Before
23% received follow-up
After
100% receive follow-up
Pipeline from Outbound
311% growth
Before
$45K/month
After
$185K/month
“The ROI was almost immediate. Within the first month, our email outreach throughput increased by over 300% while our error rate dropped to near zero. For a logistics business of our size, that translates directly to the bottom line. Arahi AI paid for itself in the first week.”
Operations Director
Last-mile delivery service
Key Takeaways
The most important lessons from this logistics email outreach automation project.
Automating email outreach in logistics delivered immediate, measurable results: faster processing, higher accuracy, and lower costs.
The key to success was connecting existing logistics tools to AI agents rather than replacing the entire tech stack.
24/7 automated processing eliminated backlogs and ensured consistent service quality regardless of volume fluctuations.
Starting with a pre-built template and customizing for logistics-specific requirements dramatically reduced time-to-value.
Implementation Timeline
From zero to production in Half a day — here's how they did it.
Step 1: Mapped the existing email outreach workflow
Documented every step of the current manual email outreach process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.
Step 2: Built the automation in Arahi AI
Used Arahi AI's no-code builder to create the email outreach workflow: connected ShipStation and UPS API as data sources, configured AI decision logic for logistics-specific requirements, and set up automated actions and notifications.
Step 3: Parallel run with manual process
Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on 98% of email outreach instances, with the 2% of edge cases automatically flagged for human review.
Setup Time
Half a day
AI Agents
3 AI agents
Tools Connected
5 integrations
Frequently Asked Questions
Common questions about automating email outreach in logistics.
Related Case Studies
Explore more AI automation success stories.
More Logistics Case Studies
Email Outreach in Other Industries
This case study represents a typical customer scenario. Individual results may vary.