Explore Our Tech Partners

At Williams, we know that a high-performing supply chain relies on more than just seamless warehouse operations, it requires a powerful, integrated digital ecosystem. We have intentionally built a network of industry-leading technology partners, data-driven innovators, and eCommerce software pioneers designed to plug directly into your store's infrastructure.

By bridging the gap between advanced digital tools and physical logistics, we empower scaling D2C brands and enterprise retailers to optimise the pre and post-purchase customer journey. From reducing costly product returns to personalizing the digital shopping experience, our curated tech ecosystem gives you the data, automation, and infrastructure needed to maximise conversion rates, protect profit margins, and scale with absolute efficiency.

Try With Mirra

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Magic Fit

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Try With Mirra - Magic Fit -

Try With Mirra

Try with Mirra is a premium "Try Before You Buy" conversion platform designed to eliminate financial risk and checkout hesitation for fashion eCommerce brands. By shifting the customer purchasing decision from the digital screen to the home trial, they enable shoppers to touch, fit, and experience products in real life before committing financially.

  • Unlike traditional Buy Now Pay Later options that lock shoppers into immediate debt or rigid repayment schedules, Mirra changes when customers decide to buy. Shoppers test garments in the comfort of their own homes with $0 paid upfront, building immediate product trust and purchasing confidence.

  • By removing upfront cost barriers, Mirra drives massive gains across the core eCommerce funnel. Partnering brands see an average 68% surge in first-time buyers, a 67% increase in Average Order Value (AOV) as shoppers confidently pack larger baskets, and an 87% reduction in reliance on margin-eroding discount codes.

  • Instead of just managing returns after funds are processed, Mirra stops unnecessary reverse logistics cycles before they start. Moving the final purchase choice to post-trial prompts more considered customer keeping habits, meaning brands see higher retained order value, faster stock rotation, and a significantly cleaner supply chain footprint.

  • Built with a highly flexible backend, the platform integrates natively into existing multi-channel tech stacks with zero disruption to warehouse fulfillment. Brands can meticulously control risk by limiting the trial experience to specific geographic regions, selected product categories, high-value VIP customer segments, or targeted marketing campaigns.

Magic Fit

Magic Fit brand logo, an AI-powered fashion size recommendation engine and technology partner for Williams Logistics.

Magic Fit is an AI-powered size recommendation platform designed to eliminate size anxiety and cart abandonment for fashion eCommerce brands. Built by direct-to-consumer apparel veterans, the software replaces confusing size charts with an instant, two-click sizing tool that boosts buying confidence and profit margins.

  • Unlike cumbersome plugins that require manual measuring tapes or ask customers to compare themselves to competitor brands, Magic Fit uses simple biometrics. By prompting shoppers for basic data everyone already knows, such as height, weight, age, and bra size, the software calculates an exceptionally precise recommendation in seconds.

  • Incorrect sizing is the leading driver of margin-eroding "bracketing" (when customers buy multiple sizes of the same item intending to return the wrong ones). By achieving a 94% accuracy rate at the point of purchase, Magic Fit drops apparel return rates by an average of 19%, keeping stock on the warehouse floor instead of in the reverse logistics loop.

  • Eliminating guesswork from the digital fitting room directly unlocks checkout performance. Online fashion retailers leveraging the tool experience an average 31% surge in conversion rates alongside a 33% increase in Average Order Value (AOV), as shoppers feel confident packing their baskets without fear of ill-fitting garments.

  • Beyond the checkout button, the platform functions as a valuable business intelligence tool. It captures deep, anonymized first-party fit data from your actual buyers, empowering brands to better understand real-world body types, optimize future product manufacturing runs, and reduce deadstock.