HYGIENE OPERATIONS SYSTEM

A workforce and hygiene AI built to track cleaning teams, verify work site by site, and keep facilities audit-ready in real time.

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Case detail
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Project challenges

Running large cleaning teams across many sites is hard to see and harder to prove. Paper checklists and manual counts left gaps in accountability and stock control.

  • Knowing who turned up, and where.
  • Proving each area was actually cleaned on time.
  • Keeping every site ready for a surprise audit.
  • Running out of supplies with no early warning.
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The solution

We built a single system the supervisors and management both work from. It tracks who is on site, what was cleaned and when, how much stock is left, and warns the team before anything runs short.

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The result

The client gained clearer accountability, better use of staff, and far fewer last-minute stock runs.

100

%

Cleaning tasks verified digitally

24

/7

Live visibility across sites

30

%

Less time spent on reporting

Project information

Date:
Sep 2025
Client:
MEMC Dubai
Industry:
Health & Safety
Services:
Machine Learning, Dashboard Engineering, Security Audits
Technology stack:
Python, Scikit-learn, AWS Lambda, MySQL

"Before this, we trusted the checklist. Now we can show a client exactly what was done, and when."

Anas
Facilities Operations Manager
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