"1,500 performance reports a week. Processed by hand. ~5% error rate. One pipeline replaced it all."
The Data That Was Always Late
Situation
Every week, someone opens each PDF performance report manually. Copies numbers into Excel. Runs VBA macros for score calculations. Formats import files by hand. Tracks which drivers are improving or declining. For roughly 1,500 drivers per week at peak, that’s hours of manual work — with ~5% transcription errors and data already 24–48 hours old by the time a report is ready. The existing automated solution — a neural extraction model — handled initial extraction but required developer intervention every time the report format changed. A technical solution that still needed developers for every update.
Task
Build a self-contained operations platform that handles the full pipeline from PDF to actionable data — with zero developer dependency for ongoing operation.
Action
Replaced manual PDF processing, Excel/VBA macros, and a 24–48 hour data lag with an automated seven-stage pipeline — from PDF upload through to performance analytics.
Config-driven adaptability
Report formats and metric names change regularly. A non-developer edits one config file in 2 minutes. No retraining, no developer tickets, no waiting. The existing model required developer intervention for every format change.
Self-hosted core
Runs on a local machine. Core extraction and scoring need no cloud services. AI structuring is optional and supports local models for zero-cost operation.
Validation at every stage
Nothing silently drops. A quarantine system catches errors with 10 specific reason codes. Weighted scoring with configurable thresholds calculates performance across every metric.
Fleet management integration
Generates import-ready files with correct column mapping. Produces calculated scores, trend analysis, and a Performance Dashboard with weighted averages and time-decay trends.
Result
- ~5% transcription errors reduced to <0.1% with automated validation
- 24–48 hour data lag replaced by same-day processing
- Zero developer dependency — config changes, not code changes
- Hours of manual Excel/VBA work replaced by one-click processing
- Self-hosted core with minimal recurring cloud costs
Ownership
I designed and built the full pipeline. Every extraction method, every config schema, every scoring algorithm, every dashboard metric. A non-developer can maintain it — that was the whole point.
Want results like these?
Tell me what's broken. I'll scope a fix and explain exactly what you'll get.
Email hello@anomalyops.com