Case Studies

SAP Commerce Cloud Migration to JDK21

Admin — Wed, 18 Feb 2026 05:00:00 GMT

Introduction

Modern SAP Commerce Cloud platforms must evolve to remain secure, scalable, and future-ready. As enterprise Java ecosystems advance, organizations running on older versions face growing compatibility and compliance risks. A structured SAP Commerce JDK 21 migration is no longer optional it is strategic modernization.

OmniReach partnered with a global B2B and B2C enterprise to upgrade from JDK 17 to JDK 21 Long-Term Support (LTS). The environment supported high traffic, enterprise SSO, PunchOut integrations, and API-driven commerce workflows. The objective was clear: modernize the platform without disrupting business operations.

By combining Spring 6 upgrade expertise, Jakarta migration, security modernization, and performance optimization, we delivered a seamless transition in four weeks, backed by measurable gains and zero downtime

The Solution

OmniReach implemented a structured SAP Commerce JDK 21 upgrade strategy that covered framework updates, dependency modernization, and security transformation.

We completed the Spring 6 migration, standardized URL routing, and executed a full Jakarta namespace transition across custom extensions and integrations. Legacy OAuth2 components were replaced with a modern authorization server model to strengthen security and simplify future compliance.

Deprecated libraries were upgraded, caching systems modernized, and application configurations aligned with Spring 6 standards. Comprehensive regression testing and performance benchmarking ensured production stability before go live.

The outcome was a fully modernized SAP Commerce Cloud platform running on JDK 21, delivered within four weeks without business disruption.

Summing up

A successful SAP Commerce JDK 21 migration requires more than changing a Java version. It demands structured planning, Spring 6 expertise, Jakarta migration experience, and careful execution.

OmniReach delivered this enterprise upgrade in four weeks, followed by two weeks of post go live stabilization support. We addressed framework changes, security modernization, dependency upgrades, and performance validation in a controlled manner.

If your SAP Commerce Cloud environment is still running on JDK 17 or earlier, now is the right time to modernize. A well executed JDK 21 upgrade improves performance, reduces compliance risk, and prepares your commerce platform for long term innovation.

Ecommerce Personalization

Admin — Mon, 22 Dec 2025 05:00:00 GMT

Introduction

How OmniReach partnered with a major B2C ecommerce retailer to design and deliver predictive purchasing, seasonal trend modeling, and AI driven personalization, resulting in improved product discovery and measurable site wide revenue growth.

The Solution

OmniReach partnered with the retailer to design and deploy a predictive AI personalization framework that moved beyond static rules and reactive merchandising.

The solution was built to understand customer behaviouravior, timing, and intent and act on it in real time across the site.

At its core, OmniReach implemented:

Predictive purchasing models to anticipate restock needs based on historical buying cycles, consumption patterns, and seasonality
Seasonal trend modellingeling to dynamically adjust recommendations as demand shifted throughout the year
AI driven personalization that worked seamlessly for both registered and guest shoppers using behaviouralavioral and lookalike intelligence

The system continuously learned from live interaction signals, allowing personalization quality to improve over time while reducing operational effort for merchandising teams.

The Impact

The deployment of predictive purchasing and AI driven personalization delivered immediate and measurable business impact across the retailer’s ecommerce platform.

Across the site, OmniReach enabled a shift from reactive selling to predictive, intent driven commerce delivering experiences that felt natural to shoppers and profitable for the business.

Summing up

OmniReach helped the retailer shift from rule based personalization to predictive, intent driven commerce. By combining AI driven personalization with seasonal and purchasing intelligence, the solution delivered measurable revenue growth and scalable impact across the site.

Edge Driven Sales Conversation Intelligence

Admin — Tue, 01 Jul 2025 04:00:00 GMT

Introduction

A private equity backed U.S. home services provider partnered with OmniReach to validate whether sales conversation intelligence could operate reliably, cost efficiently, and at scale across field environments with limited or no connectivity. The objective was to reduce cloud dependency, improve data reliability, and enable faster decision-making without long term vendor lock-in.

The Solution

OmniReach designed and validated an edge driven conversation intelligence framework that shifted critical processing to on device inference. The solution followed a privacy first, open source approach with smart segmentation to remove blank and non conversational data before cloud transfer. The architecture was optimized for constrained networks and validated for scalability through benchmarking against leading commercial solutions.

Summing up

This case proves that enterprise grade AI does not need to be cloud heavy, expensive, or vendor locked.
OmniReach helps enterprises redesign how intelligence operates reliably, cost efficiently, and at scale.