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Proven Success Across Industries

At Apiwide, our work speaks for itself. We partner with organizations across various industries to deliver innovative, impactful solutions that drive measurable results. Explore our case studies to see how we’ve helped businesses overcome challenges, optimize operations, and achieve their goals.

Featured Case Studies
1. Simplifying Data Integration for NuevoScope Technologies Pvt Ltd

Industry: IT Services

NuevoScope Technologies struggled with fragmented data systems that slowed down reporting and cross-departmental collaboration. The client needed a scalable solution to unify their data infrastructure and ensure seamless data exchange between systems.

Apiwide implemented a Data Integration Framework leveraging MuleSoft's Anypoint Platform. The solution included:

  • API-driven integrations to connect legacy systems with modern platforms.
  • Real-time data synchronization between project management, CRM, and analytics tools.
  • A centralized data repository built on Snowflake for secure and scalable storage.
  • Dashboards using Power BI to provide actionable insights for project tracking and decision-making.

  • Reduced data access time by 40%.
  • Improved project collaboration through a unified data view.
  • Enhanced reporting accuracy with real-time updates.

2. Optimizing Supply Chain Management for Saroj Agro Industries

Industry: Agriculture & Food Processing

Saroj Agro Industries faced inefficiencies in supply chain operations due to poor inventory tracking and delayed communication with suppliers. They needed a system to integrate operations and optimize resource utilization.

Apiwide delivered a Supply Chain Optimization Platform, including:

  • Snowflake’s Data Cloud for integrating supplier, inventory, and sales data.
  • Real-time dashboards designed with Tableau to track stock levels, shipment schedules, and production rates.
  • A centralized data repository built on Snowflake for secure and scalable storage.
  • Machine learning models for predictive inventory management, reducing overstock and shortages.
  • Integration with ERP systems using MuleSoft ESB to synchronize supply chain workflows.

  • Reduced inventory waste by 30% through predictive analytics.
  • Improved delivery times by 25% with real-time visibility.
  • Enhanced supplier coordination, resulting in a 20% efficiency boost.

3. Enhancing Customer Experience for Krishna Pearls and Jewellers

Industry: Retail & Luxury Goods

Krishna Pearls and Jewellers aimed to personalize the customer journey and improve engagement but lacked an integrated platform to analyze customer data and preferences across touchpoints.

Apiwide implemented a Customer-Centric CRM Platform powered by:

  • Salesforce for managing customer interactions and sales data.
  • A recommendation engine built using Generative AI models to personalize product suggestions for customers.
  • Integration with the client’s eCommerce platform to synchronize online and in-store customer data.
  • Data visualization dashboards using Tableau for tracking sales trends and campaign performance.

  • Increased sales by 20% through AI-driven recommendations.
  • Improved customer retention rates by 15% with personalized engagement strategies.
  • Enhanced marketing efficiency, reducing campaign costs by 10%.

4. Simplifying Loan Processing for Optimum Mortgage

Industry: Financial Services

Optimum Mortgage relied on manual workflows for loan application and approval, leading to high processing times and errors. They required an automated solution to streamline operations while ensuring compliance with financial regulations.

Apiwide designed an Automated Loan Processing System that included:

  • A custom-built workflow automation tool integrated with MuleSoft for connecting loan origination, underwriting, and approval systems.
  • A custom-built workflow automation tool integrated with MuleSoft for connecting loan origination, underwriting, and approval systems.
  • A rules-based decision engine powered by AI/ML algorithms to automate eligibility checks and risk assessments.
  • A rules-based decision engine powered by AI/ML algorithms to automate eligibility checks and risk assessments.

  • Reduced loan processing time by 35% with automated workflows.
  • Improved accuracy in risk assessments, reducing errors by 25%.
  • Increased customer satisfaction with faster approvals and transparent processes.