Case Study

Canbrowser Enterprise Data Sync Case Study

Canbrowser is a specialized enterprise web application responsible for synchronizing and maintaining product information originating from two external systems—Jeeves (ERP) and Kvaser (resource management). The platform processes massive datasets, ensuring that product prices, web/list price variations, resource files, versions, release notes, descriptions, and inter-product relations are consistently updated.

Certified & trustedCMMI Level 5ISO 2700125+ years600+ clients
Canbrowser Enterprise Data Sync Case Study

Process maturity

CMMI Level 5

Information security

ISO 27001

Industry experience

25+ years

Global clients served

600+

01

Project Scope & Challenges

The client faced several technical and operational constraints:

Representing a vast and highly customizable product range, from simple chairs to intricate cabinetry.

Enabling clients to customize materials, finishes, upholstery, and dimensions through an intuitive digital experience.

Showcasing craftsmanship through high-end imagery, elegant UI, and luxury-driven visual identity.

Creating a portfolio hub for completed bespoke projects across multiple industries.

Supporting trade-client workflows, including privileged access, pricing tiers, and project-specific inquiries

Integrating a CRM system to streamline custom orders, product status updates, and internal workflows.

Ensuring seamless performance across mobile and desktop for a global clientele

02

Mapelcode’s Solution

Mapelcode re-engineered the backend synchronization framework to deliver stability, performance, and accuracy across both major modules:

Product Price Sync (via Jeeves APIs)

Implemented robust API integration to fetch and update both web price and list priceOptimized mapping and transformation logic for large-scale product datasets Ensured pricing accuracy with improved validation and cross-check mechanisms

Resource Sync (via Kvaser APIs)

Streamlined syncing of products, resources, versions, files, and multi-language descriptionsImproved handling of file data, version histories, relations, and detailed metadataEnsured smooth compatibility across multiple resource types

Backend Enhancements Across Modules

Added batching to process large data volumes efficientlyImplemented multi-level retry logic to prevent failures in long-running sync jobsStrengthened exception handling and audit logs for 3-4 hour operationsEnhanced data mapping rules to reduce mismatches significantlyDelivered Admin UI enhancements for better visibility and manual sync triggers

03

Tools & Technologies We Leverage

Backend

JavaJava
Spring BootSpring Boot
Rest APIsRest APIs

Integrations

Jeeves Product Price APIsJeeves Product Price APIs
Kvaser Resource APIsKvaser Resource APIs

Database

MySQLMySQL

Data Processing

JSON/XML parsinJSON/XML parsin
Results & Achievements
04

Results & Achievements

Mapelcode’s engineering improvements delivered measurable business and operational impact:

Highly stable 3-4 hour sync processes with reduced failure rates

Accurate and consistent product pricing across systems

Significant reduction in data mismatches reported by end users

Efficient processing of large datasets with improved performance

Reliable syncing of multi-language descriptions and resource histories

Admin teams gained greater control through enhanced UI and monitoring

Overall improvement in system reliability, maintainability, and scalability

Highly stable 3-4 hour sync processes with reduced failure rates

Accurate and consistent product pricing across systems

Significant reduction in data mismatches reported by end users

Efficient processing of large datasets with improved performance

Reliable syncing of multi-language descriptions and resource histories

Admin teams gained greater control through enhanced UI and monitoring

Overall improvement in system reliability, maintainability, and scalability

05

Unlock High-Performance Enterprise Integrations That Scale with Your Business

Mapelcode helps enterprises modernize and optimize their backend ecosystem with scalable, API-driven data sync solutions. Whether you’re integrating ERPs, resource systems, or multi-platform data pipelines, our engineering teams ensure reliability, accuracy, and long-term performance.

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