We build AI-powered Shopify apps that help merchants sell more, recover lost revenue, and support their customers around the clock.
Large retailers have entire teams dedicated to pricing strategy, cart recovery, and customer support. Independent merchants usually don't. We believe that gap shouldn't exist, so we're building the AI tools to close it.
Every app we make is designed to run quietly in the background, learning from your store's data and taking action on your behalf. The goal is simple: give you back the time you'd otherwise spend on repetitive tasks, and help you make better decisions with the data you already have.
Matriks.io is built by a Berlin-based team with a Ph.D. in engineering and years of experience in machine learning research and optimization.
That research background is what drives how we build our products. The models behind our apps are not off-the-shelf solutions with an "AI" label. They are purpose-built for e-commerce, grounded in the same optimization and statistical methods used in academic research.
Analyzes your product catalog, sales velocity, and market signals to recommend pricing adjustments. PricePulse identifies which products are underpriced, which are losing sales, and suggests specific changes to improve your margins and conversion rates.
Monitors abandoned checkouts and automatically sends personalized recovery emails to bring customers back. CartMind uses AI to tailor the message, timing, and discount strategy for each shopper based on what they left behind and how they've interacted with your store.
An AI-powered customer support agent that lives on your storefront. It handles "where is my order" questions, answers common FAQs, and looks up order details in real time. Your customers get instant answers, and you spend less time on repetitive support tickets.
We take the accuracy and reliability of our recommendations seriously. Every model we deploy goes through rigorous testing before it reaches your store.
Our pricing and recovery models are validated against historical store data before making any live recommendations. We measure how the model would have performed in the past to make sure it works before applying it to your store.
Our models show you why they're making a suggestion and how confident they are. You can see the reasoning behind each recommendation and always have the final say.
Our models use proven methods from optimization research, including Bayesian approaches and multi-objective optimization. These are the same techniques used in published academic work, not ad-hoc rules or simple heuristics.
Once deployed, our models are continuously monitored for performance. If a model's accuracy drifts or store conditions change significantly, the system adapts and recalibrates automatically.
Have a question, feature request, or just want to say hello? Drop us an email at contact@matriks.io and we'll get back to you.