Customer success stories in uniform sizing and size optimisation

Bodi.Me helps uniform suppliers, garment manufacturers, retail brands and employers replace size guesswork with garment-specific recommendations and real wearer-demand intelligence.

Since 2013, the Size-Me platform has delivered more than 1.5 million size recommendations across uniform, workwear and apparel programmes. These customer stories show how Bodi.Me improves first-time fit, reduces size-related returns and supports better production, stock-allocation and distribution decisions.

Twelve people in work uniforms standing together on a white background: a chef in whites, toque and black apron; a nurse in blue scrubs with a stethoscope; a construction worker in a yellow hard hat and high-visibility vest; a woman in a black business suit and scarf; a man in a navy suit and tie; a flight attendant in a navy uniform with cap and neck scarf; an airline pilot in a peaked cap and navy jacket; a waiter in a black waistcoat and bow tie; a security officer in a navy uniform; a waitress in a black waistcoat and bow tie; a firefighter in protective gear and red helmet; and a waiter holding a tray with a wine glass.

Awards and recognition

Winner, Business Awards UK 2023 Business Leader Awards, Best Business Leader in Digital Transformation, Bodi Me Ltd PCIAW (Professional Association Clothing Industry Worldwide) award winner, Transformational Technology Winner, Digital Impact Award, The LADAs 2024 Laundry and Drycleaning Awards Recipient of the NAUMD (National Association of Uniform Manufacturers and Distributors) Innovation Award Winner, Business Awards UK 2026 Business Leader Awards, Best Business Leader in Digital Transformation, Bodi.Me Ltd Best Startup London Awwwards

Right size. Right quantity. Right location. First time.

Healthcare uniform sizing across a diverse workforce

Size-Me supported healthcare uniform sizing across a diverse workforce and multiple locations, with testing reporting 96%+ size-recommendation accuracy and voluntary adoption exceeding 95%.

Challenge

Healthcare uniform programmes must fit wide variations in body shape, role and mobility across hospitals, trusts and distributed teams, where incorrect sizing affects comfort and confidence.

Solution

Size-Me was calibrated to the programme’s actual garments, measurements and grading, with a remote wearer journey and optional 3D avatar visualisation — no photographs or body scans required.

Measured Outcome

  • 96%+ accuracy during testing
  • 95%+ voluntary adoption
  • Reduced need for manual measuring appointments

South African Military Research Department: 3D body-data research and size optimisation

The research department acquired a 3D body scanner to capture detailed digital body models and more than 250 body measurements per wearer, supporting military sizing research, inclusive size-curve development, garment design and pattern grading.

Challenge

The department required a faster and more consistent method of collecting anthropometric data across a diverse military population — manual measurements are time-consuming, difficult to standardise and provide limited insight into body-shape variation, garment grading and future size requirements.

Solution

A 3D body scanner captures full-body data and 250+ consistent measurements per wearer. The scanner can also be integrated with Size-Me, connecting body data with actual garment measurements to provide individual size recommendations and aggregated demand intelligence by garment, size and location.

Measured Outcome

  • Full-body data captured in approximately three seconds
  • More than 250 consistent measurements available per wearer
  • A structured anthropometric dataset for military garment research
  • Future Size-Me integration to measure recommendation accuracy, forecast size demand and optimise production, stock allocation and distribution

M&S and Incorporatewear: gender-neutral uniform sizing for 15,000 employees

M&S and Incorporatewear used Size-Me to support the introduction of a gender-neutral uniform collection for about 15,000 employees, delivering garment-specific size recommendations and an estimated 90% reduction in fit-related returns.

Challenge

A large, diverse workforce needed to move away from conventional gender-based sizing, without costly manual fittings or unreliable generic size charts.

Solution

Bodi.Me developed Size-Me 3.0 around the programme’s actual garments, size charts, grading and fit requirements, matching each employee’s predicted body profile to the most appropriate size.

Measured Outcome

  • About 15,000 employees supported
  • High voluntary adoption
  • 90%+ reduction in fit-related returns

Italian uniform supplier: Size-Me implementation for mechanics’ workwear

The Italian uniform supplier needed to improve sizing for mechanics across their client’s global workshops network, wearing multiple workwear garments with different fits, grading and functional requirements.

Challenge

Manually sizing mechanics across a global workshop network would have been slow, costly and operationally complex. Generic size charts also produced inconsistent recommendations, avoidable exchanges and limited visibility of the sizes and quantities required for production, stock allocation and distribution.

Solution

Size-Me was calibrated against the supplier’s mechanics’ workwear collection, using the actual garment measurements, size charts, grading and fit specifications. The digital sizing journey is easy to use and provides each wearer with a garment-specific recommendation, integrated into the supplier’s existing ordering process, with aggregated wearer data providing size-demand intelligence by garment, size and location.

Measured Outcome

  • Garment-specific recommendations implemented across the mechanics’ workwear range
  • Consistent digital sizing journey for employees and ordering teams
  • Reduced reliance on manual measurements and generic size charts
  • First-time fit, adoption and exchange rates tracked against the previous sizing process

Sofitel: multilingual uniform sizing across a global hotel network

Bodi.Me and DressBest integrated Size-Me into the Sofitel uniform programme to provide garment-specific recommendations through a multilingual digital journey across a global hotel network.

Challenge

International hospitality programmes must fit employees across different countries, languages and roles, while keeping garments, ordering and stock consistent across locations.

Solution

Size-Me was calibrated against the Sofitel collection and integrated into the DressBest ordering environment, with multilingual functionality supporting a consistent sizing process across countries.

Measured Outcome

  • One consistent sizing journey across multiple locations
  • Multilingual employee access
  • Centralised size-demand visibility for stock and distribution planning

Commonwealth Games: uniform size optimisation for 14,000+ volunteers

Size-Me supported the uniform programme for more than 14,000 Commonwealth Games volunteers, generating over 85,000 garment recommendations and reducing excess uniform stock by more than 97% compared with the previous programme.

Challenge

Major events must order uniforms before the final wearer population and size distribution are known, risking excess stock, shortages and last-minute exchanges.

Solution

Volunteers completed a remote Size-Me journey; aggregated, anonymised demand data gave the programme clear visibility of required sizes before final production and distribution decisions.

Measured Outcome

  • More than 14,000 volunteers supported
  • Over 85,000 garment recommendations
  • 97%+ reduction in excess uniform stock vs. the previous programme

Garment-specific size recommendations for digital ordering

Size-Me provides recommendations based on the measurements, grading and fit characteristics of the specific garment being ordered — not generic size charts or broad demographic assumptions. Across Bodi.Me deployments, the platform reports more than 1.5 million recommendations, 93%+ size and fit accuracy, approximately 4% average size returns, and return reductions above 90% in selected programmes.

Frequently Asked Questions