See how Boozt tackles peak demand, seasonality, and returns management with AutoStore. Get video insights from Tobias Sjölin, CTO of Boozt, offering firsthand insights into their strategy for fulfillment excellence.
In the fast-paced world of eCommerce, operational excellence in fulfillment and inventory management is key. For Boozt, one of Scandinavia's leading online retailers, achieving this excellence means not only meeting daily demand but also scaling up for peak seasons and managing diverse product flows throughout the year.
With AutoStore at the core of its fulfillment strategy, Boozt has built a system that adapts to seasonal changes, optimizes inventory placement, and ensures efficient order processing—even during the busiest periods.
Want the full story? Watch the on-demand webinar now and explore Boozt’s automation journey in depth.
See how Boozt ensures their systems can handle peak demand with AutoStore’s reliability and seamless scalability.
Boozt considers peak season a major annual milestone—like their very own “Super Bowl of eCommerce.” This time of year demands intense preparation, which they begin months in advance to ensure every aspect of fulfillment can handle the surge in demand.
Starting as early as May, Boozt ramps up inbound logistics, inventory stocking, and system readiness to ensure maximum efficiency when peak season arrives in the fall. This proactive approach helps align the “new normal” following peak with the next year’s projected growth.
Boozt strengthens its systems by simulating high traffic and order volumes through pressure testing. From web traffic to warehouse automation, potential bottlenecks are identified and resolved ahead of time.
AutoStore ensures Boozt achieves over 99.9% uptime, providing the reliability needed during peak periods. Its modular design allows Boozt to scale up seamlessly as demand grows, ensuring uninterrupted operations during Black Friday and other high-demand events.
Learn how Boozt handles seasonal peaks and optimizes operations year-round for efficiency.
eCommerce sales fluctuate throughout the year, and Boozt has structured its fulfillment operations to adapt to these changes. Their ability to balance seasonal sales peaks, stock updates, and warehouse logistics keeps them ahead of the curve.
Boozt’s twice-yearly inbound peaks—early spring and late summer—ensure that their inventory is stocked with seasonal items before demand spikes.
During slower months, Boozt tests and refines automation workflows, ensuring their systems are stable and prepared for end-of-year demand.
AutoStore’s flexible Grid enables Boozt to reposition high-demand inventory for faster access during peaks, maximizing operational efficiency all year round.
Discover how Boozt integrates returns into their system.
For Boozt, handling a 35–40% return rate isn’t just a challenge—it’s an opportunity to enhance customer satisfaction and operational efficiency.
Returned items are unpacked, quality-checked, and seamlessly reintegrated into the AutoStore system. Products meeting Boozt’s standards are quickly made available for resale, minimizing downtime.
Boozt prioritizes a hassle-free return experience, fostering customer loyalty and repeat purchases. A smooth return process plays a critical role in retaining customers long-term.
By leveraging AI, Boozt analyzes customer behavior to identify patterns contributing to high return rates. Initiatives like a “fair use policy” have reduced returns by 3%, all while maintaining exceptional customer service.
Boozt’s fulfillment strategy highlights the impact of smart automation and meticulous planning. From early peak preparation and seasonal flexibility to innovative returns management, Boozt has built a scalable, resilient process that meets daily demands and peak challenges alike.
At the heart of Boozt’s success is AutoStore, ensuring every process—from restocking to order fulfillment—is efficient, reliable, and ready for growth.
Ready to transform your fulfillment operations? Watch the full on-demand webinar for exclusive insights into Boozt’s automation journey.