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Dropit Named Best Omnichannel Retail Fulfillment Solution 2025 – UK

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Dropit Team
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Dropit has been named the Best Omnichannel Retail Fulfillment Solution (2025 – UK) by the AI Global Excellence Awards.

This award, presented by Acquisition International Magazine, honors innovation, excellence, and meaningful impact across industries. Its team internally researches and evaluates companies for this award, and we’re proud to have been recognized for our commitment to transforming retail operations through smarter inventory decisions.

What Makes Dropit Different

Dropit enables retailers to bridge the gap between online and in-store operations with a unified layer of intelligence that sits on top of their existing tech stack, across all sales channels. Our solution supports inventory visibility, optimization, and decision-making on a micro-level, all without the need for costly rip-and-replace implementations.

Connecting to retailers’ existing systems for live and historical data, we unify all inventory data and send it through our proprietary machine learning algorithms to make dynamic decisions about allocation, restocking, and returns. That means fewer stockouts, fewer markdowns, reduced costs, and smarter fulfillment for the retailers’ entire ecosystem.

With micro-decision precision, we’re putting inventory in the right place at the right time to reduce waste and improve the chances of faster, full-price sales.

Why It Matters Now

Retailers today are facing mounting challenges, including high consumer expectations and competitive pressure. Dropit’s mission is to help retailers approach their inventory decisions with intelligence and agility for overcoming these challenges and helping their business succeed.

We’d like to thank Acquisition International for the recognition, and most importantly, our team and our clients for continuing to push the boundaries of what’s possible in retail.

If you’re interested in learning more about how Dropit enables smarter inventory decisions, reach out to us today for a demo.

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