We delivered a real-time bonus tracking platform that connects sales data to team incentives for smarter motivation and measurable performance gains.

We create modular platforms to power ad delivery, audience targeting and closed-loop attribution across every surface you own.

We design modular systems that connect loyalty, pricing, promotions POS and media—aligning strategy and execution with AI-driven precision.

We engineered the infrastructure behind a major convenience retailer’s nicotine personalization program—aligning loyalty, pricing, CRM and compliance across 6,000+ stores.

We built a modular, Azure-native backbone that decouples legacy retail systems and powers new digital services at global scale though modular implementation.

We built pipelines that connected anonymous transactions to known customers—unlocking $100M+ in brand-funded discounts, without replacing core infrastructure.

We engineered a cloud-native data pipeline that turns previously unused event data into structured, query-ready signal—archived and actionable.

We developed accounting pipelines that normalize POS output, reconcile payment reports and standardize closeout logic across stores and time zones.

We engineered a price logic layer that reconciles hyper-local instore promotions with national loyalty discounts and personalized offers—down to the penny, at scale.

We enabled real-time discount injection at POS while preserving price stack integrity and SKU-level restrictions.

We engineer modular loyalty infrastructure that connects POS, promotions, pricing and personalization—without losing margin or control.

We built a geo-targeting engine that matches demographic profiles, growth trends, and competitor density to guide retail expansion.

We design fault-tolerant, auto-scaling AWS systems across regions and zones—optimized for resilience, repeatability and real-time scale.

We built the real-time infrastructure that connects identity, transaction signals, and personalized offers across SMS, web, apps, and in-store touchpoints.