""All of them had a unanimous way of going to market, which was old school ways of pen and paper, door-to-door knocking, [and] little-to-no technology on both CRM prospecting or any bit of the sales funnel," Berg told TechCrunch."
""We saw an opportunity there to be the first, not only to build within the space, but to disrupt an entire market.""
""Although that data is inherently available somewhere on the public web, to be able to segment it and actually repurpose it to where it's useful took a lot of work," Berg said. "That's where the AI [large language model] pipeline comes in. There's many more nuances within waste.""
A former waste-collection employee founded CommanderAI to modernize sales for waste management companies and related industrial services. The platform functions as a CRM and prospecting tool designed for dumpster rentals, industrial recyclers, and other waste businesses. The sales processes in the industry remain largely offline, relying on pen-and-paper, door-to-door outreach, and minimal CRM adoption. CommanderAI uses large language models to aggregate, segment, and repurpose public web data to identify small businesses and construction projects that lack an online presence. The software is configured to match industry-specific contract types and simplify adoption compared with complex general-purpose CRMs.
Read at TechCrunch
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