
Bodi.Me, a leader in AI-powered sizing and fit technology for professional clothing, proudly announces the launch of Size-Me 5.1. The new update delivers a quicker, clearer, and more intuitive sizing journey for employees ordering workwear and uniforms on their smartphones. Size-Me 5.1 builds on the award-winning Size-Me 5.0, which was released earlier this year with a new multilingual capability, optimised deployment workflow and improved user journey.

Size-Me 5.1 is one of the most advanced size and fit recommendation systems on the market. The system offers secure QR/URL access that directs each employee to the correct collection, supporting correct ordering by garment and employee role. This then further supports stock and production optimisation as the system captures size requirements up front (by garment, role, and location), helping suppliers to forecast size curves, allocate inventory across sites, and plan production more accurately, reducing overproduction, stockouts, and costly redistribution.
Most modern workforce members order required apparel via smartphones. Size-Me 5.1 answers this shift by streamlining the digital fitting room with step-by-step instructions and will increase rollout participation across global teams with a faster, multilingual user journey, non-intrusive questions, and zero requirement for photographs or body scans. By maintaining total privacy and data security, the platform encourages higher employee participation and precise first-time size
selections.
Why has Size-Me been optimised for mobile devices?
Smartphones have become central to the way employees access workplace services, particularly across distributed, frontline and deskless workforces. A recent mobile-workforce study reported that 80% of enterprise employees use mobile applications for work-related tasks. (Worldmetrics)

Uniform ordering must therefore work effectively on the device employees are most likely to have available. Size-Me 5.1 has been further optimised for smartphones and mobile devices so that employees can complete the sizing process quickly and confidently, wherever they are located.
The improved mobile journey offers:
- A faster and simpler experience
- Clear, guided instructions
- An intuitive step-by-step process
- Personalised size and fit recommendations
- Only a few simple wearer inputs
- No photographs or body scans
- A private and secure process
- Garment-specific recommendations rather than generic size advice
The aim is to remove unnecessary friction and help more employees select the correct size first time.
Why does a simple wearer experience matter?
A sizing platform can only deliver value when employees find it easy to use. Complex sizing forms, unclear instructions or intrusive requirements can reduce participation. Lower participation leaves organisations with incomplete sizing information and makes it harder to plan garment demand accurately. A quick, accessible user journey can encourage more employees to complete the sizing process.
This provides two immediate benefits:
- Helping each employee select the right garment size first time.
- The organisation receives more reliable information about actual size demand; in turn, this helps organisations manufacture, purchase, stock and distribute the right quantities across every size.
“Workforce demographics, regulations and business systems are constantly evolving, and our continuous research and development keeps Size-Me relevant, accurate and commercially valuable for our clients. By combining an upgraded, mobile-optimised easy wearer journey with real size-demand intelligence, Size-Me supports not only end-user satisfaction, but also supports more accurate production planning, better stock allocation and lower operating costs for manufacturers,”
Bodi.Me CEO and co-founder, Lara Mazzoni.
Size-Me 5.1 is available now and can easily be integrated into an organisation’s existing ecommerce, uniform-ordering or workforce-management platform, allowing employees to complete the sizing journey as part of their normal ordering process.




















