Customer Success Stories
See how companies like yours transformed their pricing infrastructure with FERRUM.
European B2B Distributor
Industrial Supplies
The Challenge
Complex B2B pricing with 50,000+ customer-specific prices, volume discounts, and contract negotiations. MySQL queries taking 200-500ms during peak hours.
The Solution
Deployed FERRUM as the pricing layer between their ERP and e-commerce platform. Migrated 50K customer prices and 200 pricing rules.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Price Query Time | 200-500ms | 0.3ms | 1,600x faster |
| Server Costs | €2,400/mo | €400/mo | 83% reduction |
| Cart Abandonment | 34% | 18% | 47% reduction |
| Engineering Hours | 60 hrs/mo | 5 hrs/mo | 92% reduction |
"We replaced 47 stored procedures with FERRUM. Our sales reps now get instant quotes instead of waiting for the system. Customer satisfaction is through the roof."
— CTO, Industrial Supplies Distributor
Fast-Growing D2C Brand
Consumer Electronics
The Challenge
Black Friday traffic caused pricing service to crash. Redis couldn't handle the complex promotional rules. Lost an estimated €150K in sales.
The Solution
Replaced Redis + application-layer pricing logic with FERRUM. Implemented 50+ promotional rules using JSON rule engine.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Black Friday Uptime | 94% | 100% | Zero downtime |
| Peak Throughput | 5K req/s | 150K req/s | 30x capacity |
| Rule Changes | 2-3 days | 5 minutes | No deploys |
| Revenue (BF) | Lost €150K | +€450K | 3x growth |
"Last Black Friday was a disaster. This year, we didn't even notice the traffic spike. FERRUM just handled it."
— VP Engineering, D2C Brand
Multi-Brand Retailer
Fashion & Apparel
The Challenge
Managing pricing across 8 brands, 12 countries, multiple currencies, and complex loyalty programs. Pricing inconsistencies costing millions.
The Solution
Centralized all pricing in FERRUM with country/zone fallback chain. Unified loyalty discounts via rule engine.
Results
| Metric | Before | After | Impact |
|---|---|---|---|
| Pricing Errors | ~200/month | 0 | 100% accuracy |
| Time to New Market | 3 months | 1 week | 12x faster |
| Memory Usage | 48 GB | 4 GB | 92% reduction |
| Annual Savings | N/A | €380K | Direct savings |
"We went from pricing chaos to pricing confidence. Every brand, every country, every currency—all consistent, all instant."
— Director of E-commerce, Fashion Group
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