Packaging equipment case study:<\/strong> For over four decades, Midwest Packaging Solutions operated in the Midwest. This packaging equipment case study<\/strong> explores how a company with thousands of SKUs finally got found online. Packaging equipment case study<\/strong> results show what happens when you structure a 40\u2011year catalog for how buyers actually search.<\/p>\n\n Case erectors, palletizers, strapping systems, shrink\u2011wrap equipment \u2014 thousands of SKUs ready to ship, with manufacturer\u2011trained technicians who kept production lines running. The business was built on handshakes, service calls that turned into long\u2011term relationships, referrals from one plant manager to another.<\/p>\n\n But the way those plant managers found equipment suppliers had quietly changed.<\/p>\n\n “Our website was a digital business card,”<\/em> says Tom Harrison, owner of Midwest Packaging Solutions. “It just sat there. No pages answering buyer questions. No way to capture inquiries. Even if someone found us, there was nothing to click.”<\/em><\/p>\n\n According to Gartner<\/a>, traditional search volume will drop 25% by 2026. This makes AI-powered discovery essential for any industrial manufacturer.<\/p>\n\n This packaging equipment case study<\/strong> shows how our team at HumanReach.ai<\/strong> transformed Midwest Packaging Solutions from a zero\u2011inbound manufacturer into a lead\u2011generating engine \u2014 delivering 25+ qualified leads in the first 30 days, 30+ leads per month, and a 25% close rate.<\/p>\n\n If you are new to AI visibility, read our guides on what is AI visibility vs SEO<\/a> and whether you really need to learn AI visibility in 2026<\/a> first.<\/p>\n\n A facility director in Chicago needing a case erector wasn’t calling three people he knew anymore. He was typing “automatic case erector Chicago” into Google or ChatGPT. Production engineers were building vendor shortlists entirely from online research before a single sales call happened.<\/p>\n\n These searches were happening hundreds of times a day, for the exact equipment Midwest sold, in the exact markets they served \u2014 but the company was missing all of it.<\/p>\n\n “We were still doing things the way we’d always done them,”<\/em> Tom recalls. “Cold calls, referral networks. It still worked, to a point. But the volume of opportunities we were missing online dwarfed what the phone could capture.”<\/em><\/p>\n\n For more context on why traditional sales methods weren’t enough, read our guide on whether you really need to learn AI visibility in 2026<\/a>.<\/p>\n\n When we started working with Tom, we discovered that Midwest had thousands of SKUs across dozens of equipment categories. But none of them were structured for how buyers actually search.<\/p>\n\n What buyers were actually searching for:<\/strong><\/p>\n\nPackaging Equipment Case Study: From Zero to 30+ Leads Per Month<\/h2>\n\n
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The Problem: 40 Years of Expertise, Zero Online Presence<\/h2>\n\n
The Challenge: Thousands of SKUs, Invisible to Search<\/h2>\n\n
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