Infios Integrates Robots, Software to Help Dental City Triple Pickup Rates

Key Takeaways

• AMR integration tripled Dental City’s pick rates.
• ROI shortened from three years to just over one.
• Order accuracy reached 99.85% after automation.
• Facility capacity doubled without physical expansion.
• Worker strain reduced, satisfaction increased.

Pulse Analysis

The rise of autonomous mobile robots (AMRs) is no longer confined to large e‑commerce giants; mid‑size distributors like Dental City are now leveraging Locus Robotics’ flexible platforms to address space constraints and labor shortages. By deploying Origin and Vector robots alongside Infios’ warehouse management software, the Green Bay‑based operation transformed a modest 40,000‑square‑foot hub into a high‑velocity fulfillment center, illustrating how scalable robotics can be retrofitted into existing footprints without costly expansions.

Infios’ integration strategy focused on intelligent cartonization, zone picking optimization, and QR‑coded navigation, which collectively slashed order cycle times to mere minutes. The resulting efficiency surge not only tripled pick rates but also pushed order accuracy to an industry‑leading 99.85%, delivering a tangible ROI in just over a year—well ahead of the three‑year forecast. For customers, this translates into reliable same‑day shipping and a two‑day delivery guarantee, raising service expectations across the dental supply market and reinforcing brand loyalty.

Beyond immediate performance gains, the partnership signals a broader shift toward data‑driven, robot‑first supply chains. Companies that adopt such integrated solutions can extend the operational lifespan of facilities by up to five years, reduce physical strain on workers, and improve overall employee engagement. As investors and industry analysts prioritize automation as a hedge against labor volatility, success stories like Dental City’s will likely accelerate adoption of AMR‑enabled warehouse management platforms across other niche distribution sectors.