For a $4.5B manufacturer, production disruptions were not occasional setbacks. They were the daily operating condition. With no end-to-end visibility into inventory, inbound shipments, or line readiness, and no shared tools connecting schedulers, material planners, and line coordinators, the team was always reacting. Schedule attainment sat at 45%, and the cost of that gap — in lost hours, excess inventory, and unrealized revenue — was compounding every day.
The customer deployed TADA across 17 assembly lines, 1,700 suppliers, and 540,000 parts. With a real-time digital twin of their operations, persona-based workflows replacing fragmented communication, and AI-driven visibility into supply and schedule risks before they reached the line, schedule attainment climbed to 91% and the business captured $92M in improvements.
Production disruptions were a daily reality, and this customer had no way to get ahead of them.
Visibility was the first problem. With no reliable picture of inventory status, material availability, or inbound shipment timing, risk could only be seen after it had already impacted the line. By the time a planner identified a gap, the window to act had often closed.
Collaboration made it worse. Schedulers, material planners, and line coordinators were working from disconnected systems with no shared platform and no structured process for coordinating a response. Decisions were made on stale data. Disruptions that could have been caught early instead cascaded into production stoppages and schedule misses.
The result was a 45% schedule attainment rate, surplus inventory, dead stock, and significant lost manpower potential — all symptoms of a team forced to manage a complex operation without the tools to see it clearly.
TADA's patented Digital Duplicate® platform connected the customer's systems, data, and operational logic into a single real-time model of the supply chain — encoding not just the data, but the policies and processes behind how the operation actually runs.
With the data foundation in place, TADA deployed two core capabilities:
Gave schedulers and line coordinators real-time visibility into whether every part required to build each unit was available, in position, and on track. Production plans were optimized against live inventory and inbound shipment data, surfacing clean-to-build status across all 17 assembly lines before gaps could disrupt the schedule.
Surfaced supplier shortfalls the moment they occurred, quantified their financial and operational impact across the network, and guided planners through a structured response — before production was at risk. Alerts, collaborative workflows, root cause analysis, scenario planning, and an action item register replaced the fragmented, manual process that had been absorbing days of planner time per disruption.
Before TADA, a supplier shortfall or schedule risk triggered days of manual investigation before anyone could act. After deploying Clean-to-Build and Short Sheet Management, the customer's ability to manage production volatility changed fundamentally.
Real-time visibility into inbound shipments, inventory availability, and production line status replaced disconnected data sources across 17 assembly lines and 1,700 suppliers. Material shortfalls and schedule risks surfaced as they developed, not after they'd already disrupted the line.
Production plans were optimized against available parts, capacity, and live KPIs, giving schedulers, material planners, and line coordinators a shared operating picture to model tradeoffs before committing to a response. Scenario planning moved from a multi-day manual exercise to an on-the-fly capability, with every option evaluated against schedule and cost impact before action was taken.
Six persona-based portals gave each role a structured workflow for managing disruptions. Coordination that had been fragmented across teams shifted to a single platform, cutting planning effort by 60% and driving a 30% increase in earned hours.
The shift from reactive to proactive production management delivered $92M in total benefits in three months.
