ManufacturingAI Consulting & Strategy4 weeks
Bloomlabel produces for 47 beauty and skincare brands simultaneously, and their batch documentation and production scheduling had outgrown the manual tracking that scaled them there, costing over 130 staff hours a week. They brought in our AI consulting team to audit their operations, pick the right tools, and get the ops team comfortable running them.
43 minutes
Batch Documentation Time
11 weeks
Time to Full ROI
4 hours
Quarterly Audit Prep

“Their team showed us exactly what to use and where. The engagement paid for itself in eleven weeks.”
Ana Garcia
Bloomlabel, Bloomlabel
Before
6 hour manual batch documentation, 3 day quarterly audit prep, 130 weekly hours on tracking
After
43 minute AI assisted documentation, 4 hour audit review, 31 weekly hours on tracking
Narrative
The Challenge
Every production batch needed 12 to 18 compliance documents, and the team was pulling each one together manually from templates, lab results, and supplier certificates spread across five shared drives. Audit prep took 3 full days of senior staff time each quarter, most of it spent tracking single ingredients back through the supply chain.
What We Built
Our team reviewed Bloomlabel's documentation and scheduling workflows end to end, from how raw materials were logged on intake through how final batch packets were assembled and stored. We selected and deployed an AI document assembly tool that pulled structured data from their existing systems, paired it with a scheduling assistant connected to live inventory, and ran four workshops showing the ops team exactly how to use both. Nine days after everything was live the team was producing complete batch packets in under 45 minutes.
Results
Batch documentation dropped from 6 hours to 43 minutes per run, though the first week averaged closer to an hour as the team got used to it. Weekly hours on manual tracking went from 130 to 31 across the ops group. Quarterly audit prep that used to take 3 days now wraps in about 4 hours. The $85K engagement covered its own cost in 11 weeks between time savings and the capacity to bring on 6 new brand clients that quarter.
Technical proof
Implementation details and the stack behind the delivery.
Implementation highlights
Key engineering decisions from this project.
Stack snapshot
Tools and platforms used in the delivery.
Related stories

Replacing 20-Hour Document Reviews with 15-Second AI Agents
Extraction Accuracy
Processing Time Reduction
Pages Processed Annually

Turning Weeks of Manual Audits into 4-Hour Scans
Exploitation Incidents
False Alert Rate
Weekly Compliance Hours
Tell us about your workflow, and we will map out what AI can automate.