Company Profile
Company Type
Last-mile delivery service
Team Size
20-100 employees
Industry
Logistics
Key Challenge
Struggling with inefficient manual lead qualification processes that were slowing growth and increasing operational costs. Their primary concern was delivery time accuracy.
Tools Connected
The Challenge
This last-mile delivery service was struggling with a fundamental problem: they couldn't tell good leads from bad ones fast enough. With a team of 20-100 employees, their logistics business was generating 500+ inbound leads per month across multiple channels — website forms, phone calls, trade show contacts, and referral partners. Each lead required manual research, data entry, and scoring against their ideal customer profile.
The bottleneck was crushing their growth. Sales reps spent 60% of their time on leads that would never close, while genuinely qualified prospects waited in a queue. Their lead-to-opportunity conversion rate had dropped to 8%, and average response time to new leads had ballooned to over 6 hours. In the competitive logistics market, that delay was the difference between winning and losing deals. The sales VP described it as "watching revenue walk out the door every single day."
The Solution
The team deployed Arahi AI to completely reimagine their logistics lead qualification workflow. Rather than replacing their existing tools, they connected ShipStation and Google Sheets to Arahi AI's platform and configured three specialized AI agents: one for lead enrichment, one for scoring, and one for routing and follow-up.
The enrichment agent automatically pulled company data, social profiles, and logistics-specific signals for every new lead. The scoring agent evaluated each enriched profile against a weighted scorecard that the sales team helped design — factoring in budget, authority, need, timeline, and logistics-specific criteria like regulatory readiness and technology maturity. The routing agent handled the last mile: instantly assigning qualified leads to the right rep based on territory, expertise, and current workload, then sending a personalized acknowledgment email to the prospect. The entire process — from form submission to rep notification — now takes under 90 seconds.
The Results
Measurable improvements across key logistics lead qualification metrics.
First Response Time
Near-instant
Before
Hours
After
Seconds
Conversion Rate
Significant increase
Before
Below target
After
Above target
Manual Qualification Time
Major reduction
Before
Many hrs/week
After
Few hrs/week
Pipeline Value
Strong growth
Before
Baseline
After
Significantly higher
Lead Data Accuracy
Notable improvement
Before
Inconsistent
After
High
“Before Arahi AI, our lead qualification process was the bottleneck that every logistics team complained about. Now it's our competitive advantage. We process faster, more accurately, and at a fraction of the cost. Our competitors are still doing this manually.”
Head of Strategy
Last-mile delivery service
Key Takeaways
The most important lessons from this logistics lead qualification automation project.
Automating lead qualification 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 lead qualification workflow
Documented every step of the current manual lead qualification 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 lead qualification 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 the vast majority of lead qualification instances, with 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 lead qualification in logistics.
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