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    <title>DEV Community: Ajay Giri Goswami</title>
    <description>The latest articles on DEV Community by Ajay Giri Goswami (@agoswami69).</description>
    <link>https://dev.to/agoswami69</link>
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      <title>DEV Community: Ajay Giri Goswami</title>
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      <title>Client-Side RTO Margins: Fast Calculations with React &amp; Chart.js</title>
      <dc:creator>Ajay Giri Goswami</dc:creator>
      <pubDate>Sat, 20 Jun 2026 10:54:02 +0000</pubDate>
      <link>https://dev.to/agoswami69/client-side-rto-margins-fast-calculations-with-react-chartjs-5f9c</link>
      <guid>https://dev.to/agoswami69/client-side-rto-margins-fast-calculations-with-react-chartjs-5f9c</guid>
      <description>&lt;p&gt;Return to Origin (RTO) costs are the silent killers of e-commerce profitability. High shipping costs on returned items can wipe out a seller's margins before they even realize it.&lt;/p&gt;

&lt;p&gt;The Solution: A reactive, entirely client-side simulation engine that lets sellers input their data, visualize hidden fee structures dynamically, and export instant PDF reports.&lt;/p&gt;

&lt;p&gt;The Tech: React, Chart.js, jsPDF.&lt;/p&gt;

&lt;p&gt;The Result: Zero server overhead. A lightweight frontend tool that has helped clients pinpoint leaks and save up to ₹25,000 monthly.&lt;/p&gt;

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      <category>react</category>
      <category>chartjs</category>
      <category>fintech</category>
      <category>ai</category>
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      <title>Preventing E-Commerce Overselling with Real-Time Stock Management</title>
      <dc:creator>Ajay Giri Goswami</dc:creator>
      <pubDate>Sat, 20 Jun 2026 10:51:59 +0000</pubDate>
      <link>https://dev.to/agoswami69/preventing-e-commerce-overselling-with-real-time-stock-management-go9</link>
      <guid>https://dev.to/agoswami69/preventing-e-commerce-overselling-with-real-time-stock-management-go9</guid>
      <description>&lt;p&gt;If you sell the same inventory on Amazon, Shopify, and your own custom site, keeping stock levels synced is a nightmare. Overselling leads to canceled orders, angry customers, and penalized seller accounts.&lt;/p&gt;

&lt;p&gt;The Solution: A centralized inventory hub that uses parallel processing to broadcast stock updates simultaneously to multiple storefronts the second a purchase is made.&lt;/p&gt;

&lt;p&gt;The Tech: MERN Stack (MongoDB, Express.js, React, Node.js).&lt;/p&gt;

&lt;p&gt;The Result: Real-time stock synchronization across all connected channels in under 1.5 seconds.&lt;/p&gt;

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      <category>mernstack</category>
      <category>inventory</category>
      <category>architecture</category>
      <category>programming</category>
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      <title>Scaling E-Commerce Logistics: Syncing Shiprocket APIs with Node.js</title>
      <dc:creator>Ajay Giri Goswami</dc:creator>
      <pubDate>Sat, 20 Jun 2026 10:48:49 +0000</pubDate>
      <link>https://dev.to/agoswami69/scaling-e-commerce-logistics-syncing-shiprocket-apis-with-nodejs-cmk</link>
      <guid>https://dev.to/agoswami69/scaling-e-commerce-logistics-syncing-shiprocket-apis-with-nodejs-cmk</guid>
      <description>&lt;p&gt;Handling logistics manually is a fast track to human error and delayed shipments. I wanted to build a system that completely eliminates manual data entry while maintaining blazing-fast performance.&lt;/p&gt;

&lt;p&gt;The Solution: An automated order synchronization system built on top of Express.js webhooks. It listens for order updates and immediately pushes them to the Shiprocket logistics ecosystem.&lt;/p&gt;

&lt;p&gt;The Tech: Node.js, Express.js, Shiprocket API.&lt;/p&gt;

&lt;p&gt;The Result: Achieved sub-2s latency for end-to-end sync, removing the need for manual tracking entirely.&lt;/p&gt;

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      <category>node</category>
      <category>webdev</category>
      <category>logistics</category>
      <category>productivity</category>
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