Industrial Digital Commerce Modernization & Martech Integration

To scale a legacy eCommerce infrastructure for enhanced performance, security, and marketing intelligence

Cloud-Based Industrial eCommerce Platform Modernization

A U.S.-based industrial equipment manufacturer turned to Rishabh Software to modernize its legacy industrial eCommerce platform, digitize manual processes, and unify data across departments.

The engagement focused on improving speed, marketing visibility, infrastructure cost, and scalability. The engagement aimed at industrial eCommerce solution modernization to achieve seamless automation of order fulfillment, checkout processes, and traffic validation. The modernized solution would also integrate AI-driven automation and analytics enhancements to optimize marketing efforts, enhance platform performance, and support long-term growth.

Capability

App Modernization

Industry

Industrial Manufacturing

Country

United States

Key Features

Rishabh Software modernized the existing industrial eCommerce infrastructure using nopCommerce and Azure cloud to support scalability, campaign efficiency, and operational excellence. We digitized their critical business functions and enabled better data connectivity and automation. Key features of the solution include:

Performance Optimization and Infrastructure Efficiency

Advanced Redis-based caching and Cloudflare WAF integration significantly improved page responsiveness and server load management. Consolidation of Azure App Services minimized overhead expenses and improved resource allocation.

Marketing and PPC Centralization

Google Ads, Amazon Seller Central, and Microsoft Ads were integrated into the nopCommerce admin interface for unified campaign execution. A rules-based analytics engine was integrated to analyze campaign history and performance trends for better budget reallocation and increased ROI.

Bot Filtering and Traffic Validation

Cloudflare-based behavioral filters and traffic classification tools helped identify and block invalid traffic and bot sessions without impacting real users. An AI-supported anomaly detection mechanism, powered by user behavior signals, was implemented to proactively surface new bot patterns without manual intervention.

Automated Order Fulfillment & Checkout Flows

The system fully automated order processing, invoicing, and address checks. A machine learning-powered location API predicted and verified address inputs. This improved checkout accuracy, reduced errors and cart abandonment.

Challenges

Multi-second load times were driving up bounce rates and cart abandonment

With no unified view of campaign data, the team was unable to see which channels converted, what creative resonated, or how promotions affected lifetime value

Automated traffic routinely spiked, resulting in distorted conversion metrics and triggered false fraud alerts

The constant hopping between Amazon, Google, Microsoft Ads, and half a dozen other consoles to launch or tweak campaigns increased the risk of manual error

Fragmented, over-provisioned App Service Plans and mid-sized SQL tiers were burning cash with no uptick in performance

SQL latency spiked during campaigns and slowed down the checkout process, thereby stalling orders

The existing security setup lacked robust protection against sophisticated cyber threats

Slow and inaccurate product search led to poor product discoverability and cart drop-offs

Solutions

We addressed these challenges by migrating the nopCommerce platform to a streamlined Azure architecture, centralizing Google, Amazon, and Microsoft Ads data inside the admin panel, and automating checkout, fulfillment, and security workflows. The modernization of industrial digital commerce solution also involved feature enhancements and integration of marketing platforms.

Cloud Modernization and Performance Optimization

Consolidated six Azure App Services into two optimized environments for development and production
Migrated SQL workloads to Hyperscale vCore architecture and reserved instances for cost savings
Implemented Redis caching and Cloudflare edge services to accelerate page loads and ensure resilience during traffic spikes

Unified Martech and Real-Time Analytics

Embedded Google Tag Manager (GTM), GA4, and Ads APIs from Google, Amazon, and Microsoft directly into nopCommerce
Enabled centralized campaign monitoring and optimization with a rules-based logic engine that interpreted live data signals to drive better ad spend decisions

AI-Driven Product Search Optimization

Integrated Azure Cognitive Search to enhance product discoverability using NLP, synonym recognition, and intelligent suggestions
Implemented semantic search and faceted filters to help users find products faster with minimal SQL server load

Security Hardening and Traffic Hygiene

Deployed Cloudflare WAF with custom rule sets for bot mitigation, DDoS defense, and edge traffic filtering
Introduced AI-based anomaly detection to scan behavioral patterns and flag suspicious activities automatically. This also reduced manual configuration overhead while strengthening the robustness of their digital commerce solution against sophisticated cyber threats

Order-To-Cash Automation and Data Integrity

Implemented automation capabilities for invoicing, shipping, and confirmations
Integrated a predictive, ML-powered address verification service to autocomplete and validate user inputs to facilitate faster checkout and better fulfillment accuracy