90%+
Manual Tasks Automated
60%
Increase in Sales
30%
Lower Operational Overheads
Service
Client Overview
The client sells products in one of the most competitive segments of the consumer electronics market—selling premium and heavy-duty mobile devices through a proprietary web store and a network of marketplace accounts. Their marketplace footprint spans Amazon across eight regional storefronts, eBay, Newegg, and OnBuy. With a broad SKU catalog and a growing cross-border presence, the brand has achieved significant commercial success over the years.
Client Requirement
The client's primary requirement was a centralized operations system capable of managing product data, inventory, pricing, and order handling across all sales channels from one dashboard.
Having tested and rejected widely used multichannel management platforms due to high licensing costs, limited customization options, and inconsistent support, the client requested a custom-built system.
The solution needed to automate the full operational lifecycle — from supplier inventory syncing to competitor price monitoring to listing management — while remaining adaptable to an evolving catalog and future marketplace expansion.
Key Challenges
The project faced two overlapping infrastructure challenges that had to be resolved in sequence before a stable, scalable automation solution could be delivered.
The first was a web store operating beyond its server capacity. Server memory was consistently hitting 100% utilization under peak website traffic, causing database deadlocks, page timeout errors, and session failures that degraded the shopping experience and pushed bounce rates higher.
The second challenge surfaced after the first version of the automation system went live. More than 100 regularly scheduled processes were running on the main server, putting heavy load on the shared environment and affecting both storefront stability and the reliability of the automation workflows. Resolving this required moving these scheduled processes to a separate daemon server without disrupting the live web store or ongoing marketplace operations.
Our Solution
The solution began with a targeted server performance fix and then moved into a phased automation build covering the client’s major operating workflows. By the end of the project, the system automated nearly 90% of the client’s recurring channel management tasks, while the SAMM Data operations team continued to support bulk listing uploads where manual review was required. The success of the system also encouraged the client to consider offering it as a SaaS solution for other multichannel sellers.
The team built multiple dashboards for the client’s sales channels and suppliers and connected them through one centralized management console. nopCommerce’s built-in features were used where possible, while custom plugins and extensions were developed for workflows that required additional functionality. Business intelligence and analytics tools were added to give the client a consolidated view of operational data across channels. Two data specialists were also assigned to support product listing data management and bulk uploads during and after the rollout.
Post-deployment performance analysis identified that over 100 recurring background tasks were competing with the live storefront for server memory. These processes were migrated to a standalone daemon server, reducing load on the main server and resolving the database deadlocks that caused page slowdowns, session errors, and increased bounce rates. This also gave the automation system capacity to scale without affecting website performance.
Supplier inventory updates were automated by connecting the client’s database with marketplace APIs. For Amazon, the team used the Amazon Selling Partner API on Amazon Web Services (AWS), with Amazon EC2 supporting web server hosting and scaling and AWS Lambda handling event-based processing.
The team also integrated eBay, Newegg, and OnBuy APIs to synchronize supplier inventory from those marketplaces into the centralized database.
A Python-based price monitoring tool was developed and deployed as a companion to the main platform. It extracted competitor pricing data from across the web, produced structured CSV outputs, and fed results into a pricing engine. The engine incorporated supplier costs, exchange rate fluctuations, inbound shipping charges, and fulfillment fees to calculate and publish optimized listing prices automatically — without any manual intervention.
Results Achieved
Bounce Rate Reduction
Sales Increase
Lower Operational Overheads
Automation Coverage Across Operations
Get In Touch
SAMM Data helps multichannel sellers centralize product listings, inventory updates, supplier data, and pricing operations through custom automation. Our solutions reduce manual effort and make everyday marketplace operations easier to manage.
Reach us at info@sammdataservices.com to request a quote.