Waste haulers deploy AI for route optimization, pricing engines

Major waste management companies are making significant AI investments, with executives from WM, Republic Services, Waste Connections, and others detailing concrete cost savings and margin improvements at the Waste Leadership Summit in Washington, D.C., last week.

Waste Connections announced the most ambitious plans, committing $100 million to seven AI-driven projects through 2027. CEO Ron Mittelstaedt told attendees the company expects these initiatives to generate $100 million in margin improvement by 2028-2029. The projects were selected from 47 potential AI applications the company identified.

Republic Services projects AI-based efficiencies could generate $100 million in additional EBITDA by 2028, primarily through routing improvements, according to CFO Brian DelGhiaccio.

Why it matters

The waste industry's shift from basic automation to AI-powered optimization represents a fundamental change in how haulers manage their core operations. With labor costs rising and driver shortages persisting, companies are betting that AI can deliver measurable margin improvements while simultaneously improving service reliability and worker satisfaction. The scale of investment—hundreds of millions of dollars across the sector—signals that early pilots have demonstrated returns worth expanding.

Route optimization drives margin gains

Routing improvements emerged as the primary AI application across the industry. Waste Connections is deploying AI-enabled routing across its 14,000-truck fleet, incorporating real-time data from Google, Waze, and other sources to account for weather, traffic, street closures, and construction. Mittelstaedt described the project as a "big lift" but expects 50 to 60 basis points of margin improvement.

Republic Services has digitized routes across its fleet and is now rolling out AI tools that make real-time decisions about optimal disposal locations for trucks needing to unload. The system will scale next year.

WM adopted an AI platform that helps operations managers launching daily routes at 2 a.m. identify which drivers need attention for productivity, safety, or engagement issues. "There's opportunity around every corner, and we are leaning into leveraging technology across every aspect of our operation," said Tara Hemmer, WM's COO.

GFL Environmental reported a three percentage point increase in hauling margins three months after implementing automation-based route changes at its Toronto yard, which handles more than 200 residential routes.

Dynamic pricing engines reduce churn

Waste Connections built an AI pricing engine for commercial customers that generates individualized prices based on customer-specific data rather than broad pricing tiers. Where a market with 6,000 commercial customers previously received four to six pricing levels, the AI system now generates 6,000 individual prices based on each customer's service history and willingness to pay.

The result: 20% to 25% reduction in customer churn and higher price retention, according to Mittelstaedt.

WM uses similar AI analysis of customer lifetime value data—including service history and missed pickups—to inform pricing decisions. Casella Waste Systems deployed routing software that automatically charges overage fees when customers overload dumpsters or carts.

Fleet management and predictive maintenance

Technology providers at the summit pitched AI applications for in-cab camera systems and telematics data. Beyond safety monitoring, cameras can detect contaminants in recycling loads, verify dumpster corrals are closed, and simplify liability processes after incidents.

Tensor Planet, an AI-assisted predictive maintenance platform provider, reported reducing exhaust failures in a Portland, Maine waste fleet by 41%, saving approximately $1,600 per truck annually through avoided downtime. Founder Ganes Kesari cautioned haulers to identify specific problems and quantify costs before adopting AI tools, warning against buying technology before understanding data needs.

Customer service automation

Republic Services is implementing AI-based tools for its 11 million annual customer service calls. CEO Jon Vander Ark said roughly half could be addressed through AI, noting the company is "starting to take out some heads and automate the work," though humans will remain involved.

GFL Environmental CEO Patrick Dovigi emphasized practical applications, noting the company implemented an AI-built feature allowing employees to withdraw earned wages twice per pay cycle after hearing complaints about biweekly schedules. "AI is not going to change our people. Our people need to change their businesses based on AI, incremental tools that are available to them," Dovigi said.

These details were first reported by Waste Dive, which covered the Waste Leadership Summit.