Solutions
Replace human eyes on the tasks repeated thousands of times a day. BigAI deploys vision systems that run inside the factory or store, independent of network conditions.
Signals
Results vary between shifts and miss rates climb towards the end of a shift.
Staff retype invoices, ID cards and waybills — slow, with errors accumulating.
Cameras record, but nobody watches, and footage is reviewed only after something happens.
Capabilities
Across the vision projects BigAI has delivered in Vietnamese factories, success is usually decided by capture conditions rather than the model: stable lighting, correct camera angle, good background contrast.
That is why every assessment includes an on-site trial with your actual product under your actual lighting, before we commit to any accuracy figure.
Detect surface defects, missing components and label errors on the line at 30 frames per second.
Invoices, ID cards, waybills and contracts — diacritics handled, over 97% accuracy on standard documents.
Footfall counts, zone heatmaps and dwell time in front of displays.
Models run on devices inside the plant, under 100 ms latency, with no dependency on the internet link.
Outcomes
Ranges aggregated across delivered BigAI projects. Specific targets are agreed during the assessment phase.
Swipe to see the full table
| Metric | Before | After | Improvement |
|---|---|---|---|
| Defects reaching the customer | 2.3% | 0.85% | −63% |
| Processing time per document | 3–5 minutes manual | Under 10 seconds | −95% |
Case studies
From 14 disconnected sources and manual reconciliation to a single governed lakehouse serving both regulatory reporting and internal analytics.
Read case studyReplacing store-manager intuition with per-SKU forecasting that accounts for seasonality, weather and the promotion calendar.
Read case studyFAQ
A BigAI solution engineer will review your current data estate with you, identify the highest-value problem to solve and sketch a realistic roadmap. No commitment.