Case Study: Debbie Lang
Warehouse Manager, AutoCore Components
“mpaqt gives me what our old systems never could: instant visibility into where things break down, and the tools to fix them before it costs us a build.”
The Challenge
As lead warehouse manager at AutoCore Components, Debbie Lang oversees high-stakes kitting and assembly operations. With 18 years of manufacturing experience, she understands how even small mistakes can spiral into expensive build failures.
But Debbie’s team faced persistent challenges:
- Complex work instructions that left too much room for interpretation
- Errors caused by visually similar components (like two cables with the same color)
- Training that relied on tribal knowledge, not consistent processes
- No real-time insight into where procedures were breaking down
When issues were caught, it was often too late—either flagged in QA or, worse, after a failed unit reached a customer.
The mpaqt Approach
Debbie brought in mpaqt to bridge the gap between what happens on the floor and what the system can see in real time.
Now she can:
• Identify steps that consistently cause worker confusion—before they lead to errors
• Modernize work instructions with live feedback, clear visuals, and performance data
• Test updates with “what-if” simulations before publishing
• Automate onboarding based on how new hires actually perform
“Why Did This Fail Again?” → Instantly Answered
A recurring QA issue with the SmartHub-A kit led Debbie to search mpaqt:
“routing confusion SmartHub-A”
mpaqt returned:
- Multiple worker comments: “Not sure which port,” “Looks the same under low light”
- A cluster of delayed responses and error reports on Step 2
- Visual confirmation that the current instructions were unclear
She immediately updated the step with better visuals and cable comparisons—and pushed the update live in minutes.
“Before mpaqt, I’d be chasing five people and three versions of the same SOP. Now, the data shows me exactly where the issue is—and how to fix it.”
No More “Didn’t We Already Fix This?”
Debbie thought she had resolved a SmartMonitor kit confusion—until the same issue came up again. With mpaqt’s version timeline, she discovered the fix had never left staging.
One click later, the correct update was deployed to every workstation—no emails, no delays.
“It’s not just that we can fix instructions faster. It’s that I know when it’s done, where it’s live, and how it’s performing.”
New Hires, Ready Faster
Before mpaqt, onboarding meant shadowing and hoping for the best. Now, training is standardized and measurable:
- New hires follow interactive guides with embedded visuals and alerts
- The system flags users who hesitate, struggle, or make repeat errors
- Repeated issues automatically surface steps for further revision
Labor + Material = Risk Map
When a worker unexpectedly called out, mpaqt sent Debbie a real-time alert:
“Station B labor shortage + shared SKU risk with Station C”
She had no idea both stations depended on the same part batch—but mpaqt did. Debbie reallocated staff and parts before a delay ever occurred.
Debbie’s Results with mpaqt
| Before mpaqt | After mpaqt |
| Static instructions, hard to update | Interactive, visual, AI-enhanced guides |
| Risks caught only after QA reports | Step-level feedback and early warning signals |
| Shadow-based onboarding | Guided training with built-in performance tracking |
| Updates stuck in staging or documents | Live version history with one-click deployment |
| Hidden labor or material conflicts | Real-time alerts for shared SKUs and team constraints |
Debbie’s Takeaway
“mpaqt connects what my team experiences to what the system understands. I don’t have to wait for QA to tell me something broke—I can fix it before we ever get there.”
mpaqt Makes It Possible
WE TRANSFORM FRONTLINE FEEDBACK INTO CLEAR, RELIABLE WORK INSTRUCTIONS. YOU FOCUS ON TRAINING FASTER, AND KEEPING OPERATIONS RUNNING SMOOTHLY.
Case Study: Luke Martin
Logistics Manager, AutoCore Components
“mpaqt shows me what’s slipping before the system catches it. I can act on signals from vendor emails, team messages, even missed pack decisions—days before they become fires.”
The Challenge
As Logistics Manager at AutoCore Components, Luke Martin is responsible for a sprawling, multi-regional aftermarket supply chain. With 15 years of experience optimizing fleet and freight operations, he knows how fast small inefficiencies can turn into massive cost drains.
But the systems he relied on couldn’t see everything:
- ERP delays masked early vendor issues
- Spec errors passed through receiving unchecked
- Route planning was fragmented and reactive
- Critical risks in emails, chats, and tribal knowledge went unseen
Without visibility into these blind spots, preventable problems became costly surprises.
The mpaqt Approach
Luke turned to mpaqt to capture what ERP and TMS tools missed: the human signals that quietly shape logistics performance.
Now he can:
- Detect shipment and vendor risks from unstructured messages
- Flag spec mismatches before they reach the line
- Anticipate stockouts using real usage and lead time signals
- Consolidate shipments automatically to reduce cost-per-stop
- Create audit-ready records from vendor interactions
“Where’s That Shipment?” → Answered Instantly
Three different threads in Luke’s inbox hinted at a delayed camshaft shipment. But ERP still showed everything green.
He typed into mpaqt:
“shipment delay camshaft June 3”
mpaqt surfaced:
- A vendor email: “we’re still waiting on plating to finish”
- A Slack message: “might be a 2-day slip”
- A flagged PO marked “likely delay” with a yellow alert
“mpaqt turned casual vendor chatter into structured risk insight—before the ERP even updated the ship date.”
BOM Confusion, Caught Before It Hits the Line
A supplier sent the wrong sensor variant—“Mark II” instead of “Mark II-A.” It looked identical and passed receiving.
Luke searched mpaqt:
“sensor spec mismatch Mark II”
The system immediately pulled:
- A chat log saying the parts were “just a label change”
- A QA tag from a previous similar incident
- Auto-linked part lots requiring inspection
Future shipments are now auto-routed through QA with spec tracking in place.
Inventory Looks Fine—But Isn’t
ERP showed brackets were in stock. mpaqt showed the bigger picture:
- Three SKUs were drawing from the same bracket lot
- A buried vendor note warned of an 8-week lead time increase
- A predictive alert popped: “Projected stockout in 11 days”
“The system told me we were okay. mpaqt told me we were 11 days from disaster.”
Fleet Optimization, On Autopilot
With mpaqt’s logistics optimization engine, Luke automated daily decisions that used to take hours:
- Flagged underused vehicles
- Automatically packed boxes for minimum waste
- Consolidated fragmented routes into fewer, cheaper runs
- Rerouted idle trucks in real time
This saved over $400/day, cut oversized routes by 70%, and sped up planning by 30%.
Vendor Reviews, with Receipts
Vendor meetings no longer start with guesswork. Luke now runs:
Vendor: AlloyTech → Last 90 days → Lead time drift + missed commits
mpaqt provides:
- A timeline of promises vs delivery
- Linked evidence from Slack, email, POs, and QA logs
- Context for every missed date or spec deviation
“No more digging. No more he said/she said. mpaqt connects every conversation to the commitments that followed.”
Luke’s Results with mpaqt
| Before mpaqt | After mpaqt |
| ERP blind to early warning signs | Vendor chatter flagged and linked to orders in real time |
| Spec mismatches passed receiving | Vendor claims cross-checked with QA and part tracking |
| Route planning fragmented and manual | AI-powered shipment consolidation and vehicle optimization |
| Forecasting in Excel | Real-time alerts and predictive dashboards |
| Vendor reviews lacked context | Fully traceable audit trail of interactions and performance |
Luke’s Takeaway
“mpaqt gives me X-ray vision into the parts of the supply chain that don’t live in systems—yet cause the most pain. I’m not reacting anymore. I’m anticipating.”
mpaqt Makes It Possible
WE UNCOVER HIDDEN LOGISTICS RISKS AND MAXIMIZE YOUR DELIVERY EFFICIENCY. YOU FOCUS ON MOVING PARTS FASTER, CUTTING COSTS, AND KEEPING PROMISES TO YOUR CUSTOMERS.
Case Study: Jordan Hill
Senior Financial Analyst, AutoCore Components
“mpaqt connects the dots between informal vendor talk and hard financial impact. We’re no longer playing detective after the damage is done—we see risk forming before it hits the books.”
The Challenge
As Senior Financial Analyst at AutoCore Components, Jordan Hill manages cost oversight across procurement and logistics. Her job: prevent overbilling, model risk, and hold vendors accountable. With experience in predictive cost modeling, Jordan knows that financial risk often hides where dashboards don’t look.
But before mpaqt, critical issues slipped through the cracks:
- Vendor fees buried in chat or email
- Price spikes and time drift invisible to ERP alerts
- Mislabeled parts driving overpayments
- Expedite fees with no justification
- BOM changes with no audit trail
Her systems only captured structured data—until mpaqt started capturing the conversations behind the numbers.
The mpaqt Approach
mpaqt gave Jordan a new lens: visibility into the language, patterns, and interactions that drive cost before the invoice hits her desk.
Now she can:
- Flag overcharges before approval using real-time validation
- Trace cost increases back to vendor conversations and terms
- Catch BOM mismatches with AI-powered spec checks
- Predict cost impact based on vendor behavior—not just history
- Build complete audit trails from unstructured communication
“Why Did Margin Just Drop?” → Solved in Seconds
When margin fell by 4 points on a key module, ERP showed no alerts. Jordan searched:
“Steering Module A cost changes past 30 days”
mpaqt returned:
- Vendor message: “New freight surcharge starting June 1”
- Internal Slack: “Just approve it, it’s only temporary”
- Invoice changes now linked to COGS shifts
The finance team caught the cause weeks ahead of their usual cycle.
Surprise Expedites, Now Prevented
A $4,200 expedite fee hit accounts payable—again, without a trace.
Jordan searched:
“Expedite justification bracket June”
mpaqt surfaced:
- A Slack thread warning of low stock
- A risk flag raised six days prior
- No PO comment, no ERP alert—just silence
Finance stopped the payment and raised a process improvement with ops.
BOM Confusion → Clear Accountability
An 18% overpayment on a mislabeled sensor went unnoticed—until now.
Jordan queried:
“Mark II sensor substitution risk”
mpaqt returned:
- Vendor claim: “It’s identical—just a label”
- QA log: torque spec mismatch
- SOP: required exact match
Payment was blocked, and a credit request issued—backed by full documentation.
Budgeting with Reality, Not Averages
Jordan needed forecasting grounded in behavior, not static averages. She ran:
Vendor: All → Lead Time Drift + Surcharge History (90d)
mpaqt revealed:
- AlloyTech’s lead time spiked from 9 to 13 days
- Fuel surcharges had doubled since April
- Historical vendor messages linked to surcharge clauses
Forecast models now reflect actual supplier behavior, not stale ERP assumptions.
Jordan’s Results with mpaqt
| Before mpaqt | After mpaqt |
| Overcharges found post-payment | Alerts before invoice approval using cost validation AI |
| Expedites came without warning | Linked to past inventory risk signals and vendor chatter |
| BOM confusion led to overpayments | Flagged by part discrepancy + linked comment history |
| Forecasting lacked context | Informed by vendor behavior and pricing pattern detection |
| Audit trails full of gaps | Structured, searchable proof across emails, chats, and systems |
Jordan’s Takeaway
“mpaqt connects the financial truth to the human trail. Now I can see why we missed margin—and prevent it next time.”
mpaqt Makes It Possible: WE TURN HIDDEN COST RISKS INTO CLEAR INSIGHTS. YOU FOCUS ON CATCHING PROBLEMS EARLY, AVOIDING OVERSPENDING, AND MAKING SMARTER DECISIONS.
Case Study: Nadia Sharma
eCommerce Operations Lead, AutoCore Components
“mpaqt connects the dots between informal vendor talk and hard financial impact. We’re no longer playing detective after the damage is done—we see risk forming before it hits the books.”
“I used to spend half my day sorting emails. Now I focus on solving problems before they escalate—because mpaqt already did the sorting for me.”
The Challenge
Nadia manages daily eCommerce operations for AutoCore Components, where she’s responsible for keeping customer orders, supplier updates, and warehouse communications flowing smoothly.
But her inbox told a different story:
- Hundreds of daily emails, texts, and vendor messages
- Time-sensitive updates buried in noise
- Manual triage of RFQs, cancellations, and shipping delays
- Order changes missed or delayed due to slow sorting
- Little visibility into what needed her attention most
Nadia was spending hours every day just trying to figure out what needed action—before she could actually take it.
The mpaqt Approach
Nadia turned to mpaqt’s AI Message Processor to take control of her communication chaos.
Now she can:
- Automatically classify and route 100+ daily messages by type and urgency
- Flag RFQs, cancellations, and address changes in real time
- Pre-approve or escalate high-impact issues with one click
- Track inventory-impacting updates before they hit fulfillment
- Focus her day on resolving issues—not searching for them
From Inbox Overload to Real-Time Action
At 7:30 AM, Nadia opens her mpaqt dashboard. Overnight, it’s already:
- Sorted 127 emails, texts, and system alerts
- Flagged 2 urgent cancellations
- Identified an address change and a shipping delay
- Routed 6 RFQ replies to procurement with full detail extraction
“The AI did the overnight work—I start my day where it matters.”
Critical Changes Caught in Time
When a customer requested an urgent address change before delivery, mpaqt automatically:
- Extracted the order number from the message
- Flagged it as a high-confidence “Address Change”
- Surfaced current shipment status and delivery timing
- Enabled Nadia to approve and trigger warehouse updates instantly
Supply Chain Disruptions, Preempted
A vendor delay in Malaysia could have impacted 12 downstream orders.
mpaqt detected:
- Keywords like “delay,” “customs,” and “urgent” in the vendor email
- High-risk shipment tracking IDs
- Contextual signals that classified the message as a “Shipping Delay”
Nadia activated a backup supplier plan before customers were affected.
Cancellations, Processed Before Escalation
Two customer emails requesting cancellations were:
- Auto-classified as high-confidence requests
- Checked for order eligibility
- Matched to refund and SLA timelines
With one click, Nadia processed both—along with automated customer confirmations.
Nadia’s Results with mpaqt
| Before mpaqt | After mpaqt |
| Hours spent manually sorting messages | 70% of communications handled automatically |
| Delays from buried updates | Urgent issues flagged and routed before fulfillment is impacted |
| Missed RFQs and address changes | Auto-classified and routed in real time |
| Cancellations processed too late | SLA-compliant approvals triggered with one-click actions |
| Fragmented email, Slack, and SMS handling | Unified message stream across channels, parsed and prioritized |
Nadia’s Takeaway
“I used to spend half my day sorting emails. Now I focus on solving problems before they escalate—because mpaqt already did the sorting for me.”
mpaqt Makes It Possible
WE TRANSFORM MESSAGE OVERLOAD INTO ACTIONABLE OPERATIONS. YOU FOCUS ON RESOLVING ISSUES FASTER, STRENGTHENING RELATIONSHIPS, AND DELIGHTING YOUR CUSTOMERS.