Feature
Feed Transformation & Normalization
Feed Transformation & Normalization is the middle layer of dstribute.io’s pipeline that converts whatever your source system emits—XML, JSON, CSV, or flat-file—into one streamlined schema that the entire platform understands. In this pass, we cleanse stray HTML, standardize job titles and locations, map fields to ONET and SOC codes, and align salary, diversity, and veteran tags so every downstream module—multichannel distribution, compliance auditing, and performance analytics—consumes identical, high-quality data. By enforcing consistency at the feed level, we eliminate mismatched fields, broken characters, and compliance gaps, ensuring your postings index correctly, report accurately, and reach candidates faster without the need for manual data wrangling.
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Latest OFCCP job posting news
Learn more about OFCCP job posting compliance by tracking the latest insights and news in the industry.
Optimizing Multi-Platform Job Posting ROI Through Strategic Channel Selection
You’ve just spent $50,000 on job postings across twelve different platforms. Your inbox is flooded with applications, but three months later, you’re still looking for qualified candidates. Sound familiar? Most talent acquisition teams make the same costly mistake: they treat job-posting ROI as a simple math problem (applications divided by dollars spent). But when you’re […]
Automated Sourcing Technologies That Transform High-Volume Recruitment Operations
Picture this: Your recruitment team just received an order to fill 500 seasonal positions across multiple locations before the holiday rush. Within 48 hours, you need qualified candidates screened, interviewed, and ready to start. Your current manual sourcing process? It’s already showing cracks at 50 hires per month. This scenario plays out daily in enterprise […]
Building Scalable Talent Pipeline Architecture for Enterprise Distribution Networks
Most enterprise distribution networks fail at talent acquisition because they treat hiring like a local coffee shop problem. You know the approach: post jobs when needed, hope qualified candidates apply, scramble when seasonal peaks hit unexpectedly. But when you’re managing recruitment across dozens (or hundreds) of distribution centers, that reactive strategy crumbles fast. Peak shipping […]
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