Case Studies
Real work that saved time and reduced cost
Examples of how we help teams replace manual work, ship faster, and get more done without adding more developers.
12,000+
Hours saved for clients
3.2x
Average ROI within 90 days
40+
Teams we have worked with
95%
Client retention rate
Selected results
A compact view of the same outcomes that appear in the full case studies below.
| Study | Industry | Before | After |
|---|---|---|---|
| E-commerce order processing automation | E-commerce | A growing online store was manually processing 200+ orders per day. Staff spent 4 hours da... | 4 hrs → 15 min | 12% → 0.3% |
| Lead management system for a B2B services firm | Professional Services | Leads were coming in from multiple channels — website, LinkedIn, referrals — but there was... | 48 hrs → 2 hrs | +34% |
| Internal tool replacement for a logistics company | Logistics | A mid-size logistics company was running their operations on a patchwork of spreadsheets, ... | 60% faster | 3 → 1 |
| AI-powered customer support for a SaaS startup | SaaS | A fast-growing SaaS company was spending 60% of their support team s time answering the sa... | 58% | 4 hrs → instant |
E-commerce order processing automation
Challenge
A growing online store was manually processing 200+ orders per day. Staff spent 4 hours daily copying order details between their store platform, shipping provider, and accounting software. Errors were common and customer complaints were rising.
Solution
We built an automated pipeline that syncs orders in real-time, generates shipping labels, updates inventory, and pushes data to accounting — all without human intervention. The system includes error handling and a dashboard for edge cases.
Results
4 hrs → 15 min
Time saved daily
12% → 0.3%
Error rate
3 weeks
ROI timeline
“We went from drowning in order processing to having a system that runs itself. The team can finally focus on growing the business instead of copying data.”
Lead management system for a B2B services firm
Challenge
Leads were coming in from multiple channels — website, LinkedIn, referrals — but there was no unified system to track them. Follow-ups were missed, response times were inconsistent, and the sales team had no visibility into the pipeline.
Solution
We built a centralized CRM with automated lead capture, scoring, and routing. Incoming leads are scored based on fit, assigned to the right team member, and followed up with automated sequences. The team gets a real-time dashboard of pipeline health.
Results
48 hrs → 2 hrs
Response time
+34%
Lead conversion
100%
Pipeline visibility
“Before Automojic, we were losing leads because nobody knew who was supposed to follow up. Now everything is tracked and nothing falls through the cracks.”
Internal tool replacement for a logistics company
Challenge
A mid-size logistics company was running their operations on a patchwork of spreadsheets, email threads, and a legacy desktop app. Dispatchers spent hours each day manually assigning routes and tracking deliveries.
Solution
We built a modern web-based dispatch system with real-time route optimization, driver assignment, delivery tracking, and automated customer notifications. The system replaced three separate tools and integrated with their existing GPS provider.
Results
60% faster
Dispatch time
3 → 1
Tools consolidated
-45%
Customer complaints
AI-powered customer support for a SaaS startup
Challenge
A fast-growing SaaS company was spending 60% of their support team s time answering the same 20 questions. New customers were waiting hours for basic onboarding help, and the support team was burning out.
Solution
We built an AI-powered support assistant trained on their documentation, integrated into their help center and in-app chat. The assistant handles tier-1 questions automatically and escalates complex issues to the human team with full context.
Results
58%
Tickets auto-resolved
4 hrs → instant
Avg response time
2x more customers
Support team capacity
“Our support team went from overwhelmed to strategic. They now focus on the complex issues that actually need human judgment while the AI handles the rest.”
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