84% accurate quote prediction with AI-driven sales intelligence
Masparts, the specialist in exclusive car parts for Maserati, Ferrari, and Lamborghini, turns its webshop data into revenue. Three AI models for cross-sell, quote scoring, and early customer signals run directly inside the Laravel backend. The sales team now knows in advance which quotes are likely to convert and which parts sell together.
0%
Accurate quote prediction
0.0M
Product relations analyzed
0.000
Quotes scored automatically
0
Live AI models
- Client
- Masparts
- Sector
- Automotive & E-commerce
- Result
- 84%Accurate quote prediction
- Website
- masparts.net
Background
The challenge
Masparts grew fast with a vast catalog of exclusive parts, linked to thousands of vehicle models. But the valuable data in its webshop, such as orders, quotes, and customer behavior, remained largely untapped. Quotes were judged on gut feeling and cross-sell opportunities were missed.
Key problems
- Which quotes would convert was estimated manually and on gut feeling
- Cross-sell opportunities went unused across thousands of part-vehicle combinations
- No early signal when a loyal customer was about to drop off
- Rich webshop data sat unused in the backend
Methodologie
Our approach
We built three AI models directly into Masparts' existing Laravel/Filament backend. Not separate tools, but insights right where the sales team already works.
01
Cross-sell engine
Analysis of 1.2 million part-vehicle relations and 20,800 order lines to find the strongest co-purchase combinations, as direct recommendations per order and quote.
02
Quote scoring
A conversion model with 84% accuracy that automatically gives every new quote a probability score and priority, so sales follows up on the most promising ones first.
03
Early customer signals
Based on ordering patterns (RFM), customers who deviate from their normal rhythm trigger a timely signal for proactive follow-up.
04
All in the backend
Three dashboard widgets and score columns in the existing Filament environment: measurable, maintainable, and without extra software.
Impact
Results
Within four weeks the full platform was live in Masparts' backend.
- 0%
Accurate conversion prediction
Sales knows in advance which quotes will convert, instead of guessing afterward
- 0%
Quotes prioritized automatically
Every new quote instantly gets a probability score and a place in the follow-up list
- 0.0M
Product relations used for cross-sell
Recommendations based on 1.2M part-vehicle relations, live per order and quote
- 0 weeks
From data to live
Fully integrated into the existing Laravel/Filament backend
“Stratalytic turned our own data into something we steer on every day. Our sales team now instantly sees which quotes are promising and which parts sell together, and it lives right in the system we already use. It was live within a month.”
Nick Helferrich
Founder, Masparts
Technologies
Tools & platforms used
- Python
- XGBoost
- Pandas
- Laravel
- MySQL
- Redis
Interested in this case?
Leave your email and we'll reach out to discuss how we can achieve similar results for your business.
Same question?
Ready for similar results in your business?
Pick a slot below. Thirty minutes with the solution architect who builds the work, on what this would look like on your own data.
Achieve results like these companies
Let's talk business
Do you want to know how we can help you grow your business? Schedule free consultation with one of our experts and discover the possibilities.
Rutger Geerlings
Solution Architect
@rutger@stratalytic.nl
