Esenca Sizing — Body, Hand & Foot Measurement for Workwear, PPE & Uniforms
Esenca Sizing · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
AI body measurement for workwear, PPE & uniforms. 97% fit accuracy. No fittings. No hardware.
The sizing problem costs workwear and PPE organisations millions each year. Esenca Sizing solves it.
Show the rest of the publisher’s description (20 more lines)
Incorrect sizing in workwear, PPE, and uniform programmes leads to avoidable returns, compliance failures, employee discomfort, and procurement waste. Esenca Sizing is the machine learning-powered body measurement platform purpose-built for B2B clothing and PPE deployment measuring employees accurately via smartphone, with no specialist hardware, no on-site fittings, and no manual tape measures.
Measure. Don't guess.
Esenca Sizing captures precise body, hand, and foot measurements using a standard smartphone camera. Workers complete the process independently in under two minutes — from any location, on any shift.
Body Pro Standard — Machine learning body measurement via smartphone. Accurate sizing recommendations for workwear, uniforms, and PPE across your entire workforce.
Body Pro Tailored — Higher-accuracy variant for fitted garments, tailored uniforms, medical apparel, and precision-fit PPE.
Body Light — Fit predictor that requires no photos. Works on any smartphone, laptop, or desktop. Zero friction for large-scale workforce rollouts.
Hand Measurement — Precise glove sizing for PPE, industrial, and medical applications.
Foot Measurement — Accurate sizing for safety boots, orthopaedic footwear, and occupational shoes.
Proven outcomes with leading workwear operators
MEWA Textil-Service — Europe's largest workwear rental programme
Mewa replaced its traditional sample-van fitting model with Esenca Sizing and achieved a 97% fit success rate, measured through actual garment returns. Daily measurement capacity increased 7.5x — from 40 to up to 300 employees per device. Sizing time dropped by 75–87%, from 15–20 minutes to 2–4 minutes per worker. Remote self-scan capability eliminated repeat site visits for absent employees, with direct integration into Mewa's ordering and control panel systems.
Lavans — Dutch workwear rental operator (11,000 daily customers)
Lavans replaced manual sample bag fittings with Esenca Sizing, achieving 91% body measurement accuracy and reducing measurement time to one minute per person. Garment returns fell significantly, and Lavans gained a measurable competitive advantage over traditional sizing methods.
Essity / JOBST — Clinical-grade compression therapy
Esenca delivered repeatable precision for medical compression garments, with an average circumference fluctuation of only ±3 mm — a level of repeatability that no manual method had achieved. 91.4% of all measurements fell within ±0.75 cm of clinical accuracy standards, outperforming five trained professional measurers who varied by 3–4 cm on the same patient.
Built for workwear, PPE, and uniform programmes
Unlike sizing tools designed for fashion e-commerce, Esenca Sizing is engineered for the operational realities of B2B workforce clothing: large-scale multi-site rollouts, ERP and HRIS integration, EU PPE compliance support under Regulation (EU) 2016/425, workwear rental and lease programmes, and sustainability targets driven by fewer returns and longer garment lifecycles. Employee data is GDPR compliant – body outline images are not stored.
Fast implementation. No hardware required.
Esenca Sizing runs on a standard smartphone. No scanners, booths, or specialist equipment are needed. Employees self-measure via a link from any location. The solution is deployed across Mewa, Lavans, Essity, and other leading European operators.
Contact us to schedule a demo: esencasizing.com
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- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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