<h1>Data Channel Optimization – "From 7-Day Snail Mail to Same-Day Email"</h1>
<h2>The Big Headache</h2>
<p>Picture our support queue as a supermarket checkout on Christmas Eve: seven-day waits, free services no one valued, and high-spending VIPs stuck behind bargain hunters with coupons.</p>
<h2>Mission</h2>
<ol>
<li>Slash wait times.</li>
<li>Roll out the red carpet for high-revenue customers while nudging low-margin users toward paid, self-serve lanes.</li>
</ol>
<h2>What I Built</h2>
<p>A web-based decision engine that's half rocket science, half flowchart:</p>
<p>| Ingredient | Plain-English Translation |
|------------|---------------------------|
| AI-enhanced revenue + queue data | "Who's worth the velvet-rope treatment?" |
| Rule-based logic tree | "Choose-your-own-adventure, but for data requests" |
| 5-factor scoring | Product type, revenue trends, task frequency/complexity, partner capacity, privacy + $$ risk |</p>
<h2>Results (a.k.a. The Mic Drop)</h2>
<ul>
<li><strong>Service time: -52%</strong></li>
<li><strong>Avg. revenue per customer: +25%</strong></li>
<li><strong>Low-margin freebies: -60%</strong></li>
<li>Three partner vendors now do the heavy lifting while we sip coffee.</li>
</ul>
<h2>Why It Matters</h2>
<p>Your premium clients feel like premium clients, your margins look like margarine no more, and your analysts stop starring in Groundhog Day.</p>


From 7-Day Snail Pace to almost Same-Day Mail - Slashing wait times by 52% while prioritizing high-revenue customers.