01
Throughput
Identify the operating conditions behind lost output.
By RoleProduction Head
Shift-to-Shift Production Intelligence
Catch lost output and process drift while the line is still running.
Dataviss connects production plans, cycle time, downtime, process, quality and visual-inspection evidence to show production teams what changed and where to investigate.
Throughput variance−6.8%
Evidence-backed findingConstraint isolated to Line 03
The operating gap
The data exists. The connected explanation arrives too late.
A production loss is rarely one number. It emerges through small cycle-time changes, micro-stops, process drift, material transitions and inspection exceptions across the shift.
Dataviss connects the evidence before recommending the investigation.
Value for Production Head
Operational outcomes your role is already accountable for.
02
OEE
Explain availability, performance and quality losses with evidence.
03
Process stability
Detect cycle-time and parameter drift before it compounds.
04
Traceability
Connect inspection results to product, station, code, batch and shift.
Decisions, not dashboards
The recurring questions your Analyst stays on watch for.
Your systems remain the source of truth. Dataviss reads the available evidence, identifies meaningful deviation and prepares a reviewable Decision Brief.
01
Where did the plan begin to slip?
Compare actual output, cycle time, stoppage and changeover behaviour by line and shift.
Evidence · MES · PLC · SCADA · Plans
02
Which condition is driving the loss?
Relate performance deviation to machine, process, material, operator and inspection context.
Evidence · Historian · QMS · Downtime
03
What should the next shift check first?
Create a concise handover brief with evidence, exposure and recommended investigation.
Evidence · Decision Brief · Shift · Owners
Decision Brief · Role output
What changed
Why it matters
What is at risk
What to investigate next
The Analyst performs the watching and evidence work. Your accountable leaders retain validation and decision authority.
Relevant intelligence layer
Use the products that fit the decision. Keep the systems already running.
Production Intelligence
IQVISS
Analyses throughput, downtime, plan attainment and operating variance across shifts.
AI Visual Inspection
DatVision AI
Inspects production consistently and connects visual exceptions to traceability evidence.
Quality Analyst
QAI
Connects process and quality drift before it becomes recurring production loss.
Machine Data Enablement
EdgeVISS
Makes PLC, machine and sensor data usable without replacing existing controls.
Proof from daily operations
Visual intelligence proven on production lines.
DatVision AI has operated across four Ashok Leyland plants for three years and at Wheels India for one year, supporting end-of-line inspection and vision-based traceability within 20+ customer rollouts.
4 Ashok Leyland plants
Wheels India end-of-line
20+ customer rollouts
Enterprise operating model
Controlled architecture. Evidence first. Humans accountable.
Keep systems of record
ERP, MES, SCADA, QMS, BMS and existing applications remain in place.
Govern access and evidence
Deployment, data access and evidence boundaries follow the approved operating scope.
Retain decision authority
The Analyst recommends what to investigate; accountable experts validate and decide.
Start with one decision
Analyse one production loss
Bring one line, shift or recurring loss where the evidence exists but the cause takes too long to establish.