Distribution & Logistics
Property enrichment, contact data at scale, and operational intelligence for distribution companies with large asset databases and real requirements for cost-per-contact.
Cache before you spend.
Every paid API result is cached locally before any downstream write. If the write fails, replay from cache costs $0. This is not optional — it is financial insurance.
Pre-filter before every API call.
SQL dedup runs first. Python set-checks run second. Any record that's already in the database never reaches a paid API. Duplicates that naming convention differences hide from SQL get caught in code.
Monitor yield, not just errors.
A pipeline with zero errors and zero new records is broken. Yield per batch — new records divided by total records processed — catches the problems error monitoring misses.
Normalize before you compare.
City name matching across tables with different naming conventions always breaks. Use ZIP codes, use IDs, use RTRIM/LTRIM/UPPER — never raw string comparison on names across sources.
We documented every mistake and the engagement expanded.
When a dedup bug wasted 19% of API spend, we built a presentation quantifying every dollar. Presented it to the client. They expanded the engagement. Transparency builds more trust than a clean track record — because clients know the clean track record isn't real.
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