Polymatiks
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About
Polymatiks is an AI-driven personalization platform designed specifically for the retail sector. It focuses on transforming static customer journeys into dynamic, real-time experiences by analyzing individual behaviors, intent, and value. Unlike traditional recommendation engines that rely on broad segments, Polymatiks treats every shopper as a "segment-of-one." This approach allows retailers to provide 1:1 tailored product suggestions and offers across all digital touchpoints—including web, mobile apps, and physical stores—thereby reducing conversion leakage and maximizing customer lifetime value. The technical core of the platform is built for speed and scale, boasting an average API response time of 150 milliseconds. This "millisecond muscle" ensures that personalized content is delivered instantly as the user navigates, preventing the delays that often lead to abandoned carts. The system integrates directly with Point of Sale (POS) systems, bridging the gap between online and offline data. It utilizes multi-layered AI and machine learning models that adapt based on specific business objectives, such as increasing average order value (AOV) or improving gross margins. For retail marketing and operations teams, Polymatiks offers a suite of Growth Drivers to identify, acquire, engage, and retain customers. The platform includes native A/B testing capabilities, allowing users to automate audience splitting and compare different offer strategies. Its unified audience targeting feature enables cross-offer strategies based on historical purchasing behavior and price sensitivity. Because it is designed with an extensible modular architecture and multiple language SDKs, it can be integrated into existing enterprise tech stacks with relative ease. What sets Polymatiks apart is its emphasis on profitability rather than just volume. By calculating product-level perceived value and a customer's willingness to pay, the platform helps prevent margin drain caused by unnecessary blanket discounting. It identifies when an offer is needed to secure a conversion and when a customer is likely to purchase at full price. This focus on intent-based optimization makes it particularly effective for large-scale grocery and omnichannel retailers who need to manage thousands of SKUs and millions of personalized interactions simultaneously.
Pros & Cons
Offers extremely low latency with an average API response time of 150 milliseconds for real-time delivery.
Facilitates true omnichannel experiences through two-way integration with in-store POS systems.
Protects profit margins by analyzing price sensitivity and willingness to pay before issuing discounts.
Scales effectively for large enterprises, processing over 300 million personalized recommendations monthly.
Supports rapid deployment across various tech stacks with SDKs available in multiple programming languages.
Lacks transparent public pricing, requiring a discovery call for cost information.
Focuses almost exclusively on the retail industry, making it less suitable for other sectors like B2B SaaS.
Requires significant technical integration to leverage the full POS and server-side API capabilities.
Use Cases
E-commerce managers can use the platform to reduce cart abandonment by surfacing next-best products based on real-time navigation intent.
Grocery retail executives can implement gamified vouchers and personalized offer activations to increase average order value in-store.
Retention specialists can identify at-risk customers and deliver targeted re-engagement offers based on past purchasing frequency.
Profitability analysts can automate discount strategies to ensure promotions are only delivered to shoppers with lower price sensitivity.
Platform
Features
• pos integration
• virtual machine auto-scaling
• asynchronous pipelines
• multi-layered ai/ml models
• modular sdk support
• unified audience targeting
• native a/b testing
• 150ms api response time
FAQs
How does Polymatiks handle offline and online data?
The platform features two-way integration with in-store POS systems, allowing it to synchronize customer data across web, app, and physical locations. This ensures that the personalized journey remains consistent regardless of the channel the customer chooses.
What is the typical performance impact on a website?
Polymatiks is built for high performance with an average API response time of just 150 milliseconds. It uses asynchronous pipelines and virtual machine auto-scaling to ensure that personalization does not slow down the user experience.
Can I test different marketing strategies within the tool?
Yes, the platform includes native A/B testing capabilities that allow you to automate audience splitting. You can test two different offer strategies simultaneously to see which drives better conversion or higher margins.
Is it possible to target specific customer segments?
While the platform emphasizes 1:1 personalization, it also offers Unified Audience Targeting. This allows you to group customers based on prior purchasing behaviors and price sensitivities for specific cross-offer strategies.
How does it help with margin protection?
The AI models calculate a customer's willingness to pay and the purchase probability for specific products. This ensures that discounts are only offered when necessary to drive a sale, reducing margin dilution.
Pricing Plans
Enterprise
Unknown Price• POS Integration
• 150ms API Response
• 1:1 Personalization
• Native A/B Testing
• Multi-layered AI models
• Language SDKs
• Audience Discovery
• Margin Optimization
Job Opportunities
Director, Enterprise Sales
Increase retail conversion and customer loyalty through real-time, POS-integrated personalization that treats every shopper as a unique segment-of-one.
Benefits:
Impact the early stages of a startup
Be an integral part of the senior leadership team
Shape the vision and strategy for growing the startup
Stock options
Commission: 10% – 20%
Experience Requirements:
10+ years of selling enterprise SaaS in the Retail industry
Proven experience selling complex software solutions to $50MM+ in revenue retailers
Demonstrated success calling on senior executives decision makers in large companies
Proven record of driving and closing large, complex sales
Proven leadership in sophisticated sales cycles resulting in 6 and 7 figure subscription commitments
Other Requirements:
Proven hunter with a strong desire to win and make an impact
Deep experience defining and developing marketing and lead generation strategies
Highly collaborative
Responsibilities:
Develop Polymatiks’ sales strategy, and execute it successfully in-market
Demonstrate industry expertise, thought leadership, and be a trusted advisor
Leverage existing network of relationships with senior retail leaders to drive sales early
Generate new leads to develop and expand individual pipeline
Meet or exceed monthly and annual sales targets ($3M ARR first year)
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