Set the sliders to match your operation. Every number is conservative and anchored in PMMI's 2025 packaging industry research.
How much time do your mechanics spend searching for documentation, calling OEMs, or hunting for tribal knowledge instead of actually fixing the line?
Calculating…
Methodology — Conservative and PMMI-anchored. Hourly downtime cost: (daily revenue ÷ production hours) × 2.0 multiplier for idle labor, scrap, and hidden costs (Oxmaint / ABB methodology). Addressable share: 10% of total unplanned downtime — the portion genuinely answerable by an AI knowledge system (excluding parts availability, mechanical failures requiring physical intervention, and process-engineering decisions). Industry research attributes 23% of downtime to human error + knowledge gaps combined (Plant Engineering 2021, ABB Value of Reliability 2024); we apply a conservative fraction of that. Recovery rate: 40% of addressable downtime in year one. OEM savings: 35% visit volume reduction. Mechanic productivity: mechanics × hours/week searching × wage × 52 weeks × 50% time recovered with PackAssist. Ramp savings: wage × 8 hrs/day × ramp days × 50% productivity drag × 40% acceleration. Content investment: scoped to your machine count via Assisted (you provide materials) or Visual Knowledge Capture (we film on-site). Platform pricing: per machine, unlimited seats. Annual prepaid: pay 10 months, get 12.
Industry anchors. 74% of packaging manufacturers consider knowledge transfer a significant problem (PMMI, Knowledge Transfer for Machine Operators, 2025). 59% cite training time vs. production time as the #1 barrier to effective operator training (PMMI, Beyond Manuals, 2025). 62% of operators have less than 2 years' experience (PMMI, 2025). 66% of operators prefer scannable QR codes on machinery as their primary access method (PMMI, 2025). This calculator is a decision aid — actual results are validated during the 30-day pilot.