Prematrix AI
AI That Moves Inventory, Lifts LTV, and Cuts Returns
Built for DTC brands on Shopify. Fast pilots tied to margin, CAC, and cash flow. No black boxes. Clear metrics in under 30 days.
Shopify
Klaviyo
Gorgias
Recharge
Meta Pixel
Google Ads
TikTok Pixel
Forecasting
Size-level demand hooked to promos
Returns
Risk scores before shipment
LTV
Segments that lift repeat rate
Ops
Catalog QA and data cleanup
Built for DTC operators
AI Forecasting for Interconnected Business Data
SKU and size-level demand with promotions and seasonality baked in.
Immediate Fit
Forecasting
Graph Neural Networks model relationships across products, locations, and marketing to forecast demand and spot cascading effects.
- Reduce stockouts and dead stock
- Forecast by size and color
- Use Shopify, Klaviyo, and ad spend as features
Predict Real-World Outcomes from Sequences + Attributes
Returns risk, AOV, or churn using session history plus product and customer features.
Immediate Fit
Prediction
Deep learning merges time series with item attributes to estimate outcomes as a live service.
- Target returns before shipment
- Trigger exchanges or size guidance
- Lift conversion with smarter segments
Predictive Models from Structured Data
Churn, returns, and LTV with clean features and clear evaluation.
Immediate Fit
Prediction
End-to-end workflow from data cleaning to production models that plug into your stack.
- Fast pilots, measurable impact
- Transparent metrics
- Easy integration
Forecast Future Values from Time Series
From DAUs to store traffic to energy use.
Immediate Fit
Forecasting
Neural and classical models for seasonality, events, and anomalies across any logged metric.
- Detect shifts early
- Budget and plan with confidence
- Feeds alerts and dashboards
30-Day Pilot ROI Estimator
$15,000,000
8% of revenue
15% improvement
Projected revenue saved
$180,000
Pilot fee
$5k–$10k
Payback window
Under 30 days
Simple estimate. We’ll map this to your Shopify, Klaviyo, and ads data during scoping.
About Luke
Methodical and hands-on machine learning engineer with eight years in AI. I focus on shipping useful systems: forecasting, returns reduction, LTV and churn prediction, and private LLM tooling that plugs into Shopify, Klaviyo, and the rest of your stack.
Recent work includes distributed training of clinical LLMs on AWS, reproduction of peer-reviewed models for hospital outcomes, and production vision systems. Before that, KPMG NLP pipelines for contract extraction at high precision. I like clean data paths, clear metrics, and fast feedback loops.
Years in AI
8
Cloud GPUs wrangled
100+
Industries shipped
Healthcare, Finance, Retail, Ecommerce
TensorFlow
PyTorch
XGBoost
scikit-learn
AWS
GCP
Kubernetes
SQL
Python
Remote first. Fast path to a 30-day pilot.
Pilot menu
Demand forecasting
- SKU and size level
- Promo and seasonality aware
- Feeds inventory and buying
Returns prediction
- Pre-shipment risk score
- Fit and size guidance
- Exchange nudges
LTV and churn
- Audience segments
- Klaviyo sync
- Ad spend lift
Catalog QA
- Duplicate and price checks
- Fixes before launch
- Fewer mistakes
Let’s talk
30-day AI pilot tied to a core KPI. Quick setup. Clear win.