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    <title>Forem: Omprakash Rout</title>
    <description>The latest articles on Forem by Omprakash Rout (@omprakash_rout_592bdbcbb0).</description>
    <link>https://forem.com/omprakash_rout_592bdbcbb0</link>
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      <title>Forem: Omprakash Rout</title>
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      <title>From Code to Coverage: How We Built ShiftSure in 48 Hours</title>
      <dc:creator>Omprakash Rout</dc:creator>
      <pubDate>Mon, 23 Mar 2026 15:47:39 +0000</pubDate>
      <link>https://forem.com/omprakash_rout_592bdbcbb0/from-code-to-coverage-how-we-built-shiftsure-in-48-hours-4gel</link>
      <guid>https://forem.com/omprakash_rout_592bdbcbb0/from-code-to-coverage-how-we-built-shiftsure-in-48-hours-4gel</guid>
      <description>&lt;p&gt;Hackathons are essentially a high-stakes race to turn a "what if" into a working "here it is" before the caffeine wears off. For Team Meow Company, participating in the Guidewire DEVTrails 2026 was less about the trophy and more about fixing a massive structural failure in India’s gig economy: the 15 million delivery partners currently operating without a safety net.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The Problem: Why Q-Commerce?&lt;/strong&gt;&lt;br&gt;
In a city like Chennai, heavy rain is an excuse to order in. For a Zepto or Blinkit rider, that same rain is a direct hit to their weekly earnings. Whether it’s flooding, a dark-store outage, or an extreme heatwave, a single disruption can wipe out hours of potential income in minutes.&lt;/p&gt;

&lt;p&gt;Currently, there is exactly zero automated financial protection for this. We built ShiftSure to change that—an AI-powered parametric platform that triggers instant payouts based on verified data, not manual claims.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The 2:00 AM Pivot: Graph Intelligence&lt;/strong&gt;&lt;br&gt;
The most productive part of the weekend happened in the middle of the night when we hit the inevitable wall: Fraud. Verifying a disruption without invasive, battery-draining GPS tracking is a nightmare.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The solution?&lt;/strong&gt; Graph Intelligence. Instead of treating riders as isolated data points, we modeled the relationships between workers, zones, and weather events. This led to our Mutual Micro-Pool model. Riders at the same dark store share a risk unit, and because it’s a mutual model, surplus premiums are returned as rebates if the week is disruption-free. It’s insurance that actually makes sense for the user, not just the provider.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Phase 1 and the Road Ahead&lt;/strong&gt;&lt;br&gt;
We’ve successfully checked off Phase 1 (Seed)—the foundation, the persona architecture, and the core trigger engine are live.&lt;/p&gt;

&lt;p&gt;We’re already looking at the next two hurdles:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Phase 2 (Scale)&lt;/strong&gt;: Implementing ML-driven income prediction and dynamic, real-time pricing.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Phase 3 (Soar)&lt;/strong&gt;: Advanced fraud layers using GPS validation and historical weather cross-referencing.&lt;/p&gt;

&lt;p&gt;ShiftSure started at SRM IST, but we’re building it to be the standard for gig work protection. To the riders keeping the city moving: we see the hustle, and we’re building the tech to make sure it’s protected.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;ShiftSure: Because your shift matters.&lt;/strong&gt;&lt;/p&gt;

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      <category>programming</category>
      <category>devtrails</category>
      <category>hackathon</category>
      <category>guidewire</category>
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