AGCO, a $7B global leader in agricultural equipment manufacturing with distribution across 3,000+ dealers in 150+ countries, faced a persistent shop floor efficiency problem: work instructions were not consistently accessible at the point of need. Internal engineers discovered that operators were walking back and forth to computer terminals to consult assembly procedures — adding up to an hour of lost time per operator per day. In a complex manufacturing environment producing large-scale equipment like tractors, this friction compounded across shifts, threatening both throughput and product quality. The lack of hands-free, line-of-sight instruction access made it especially difficult to onboard new operators quickly or maintain consistency across highly variable product configurations.
AGCO first experimented with tablets for delivering digital assembly instructions, but the hardware proved impractical — tablets were easily misplaced and vulnerable to damage in a heavy-equipment environment. The team pivoted to wearables, adopting Google Glass as the delivery hardware after evaluating multiple smart glass options. With the hardware validated, AGCO integrated SymphonyAI's Proceedix Connected Worker platform via its API, delivering step-by-step digital work instructions directly into operators' line of sight — hands-free. The platform directed each operator through the correct procedure in real time, eliminating terminal walks and supporting safety monitoring during climbing, assembly, and material handling. The implementation aligned with AGCO's Lean manufacturing framework, treating all seven Lean wastes — including motion, waiting, and defects — as trackable metrics.
Deploying the Proceedix Connected Worker platform produced measurable gains across both efficiency and workforce development:
In 2023, AGCO was recognized by SymphonyAI as an exceptional industrial leader for its digital transformation outcomes, alongside five other global manufacturers cited for gains in process efficiency, quality, and cost savings.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →