June 14, 2025
bops equips Duracell’s sales, customer supply chain, and retail-ops teams to reduce on-shelf availability issues, go faster from insight to ROI, and drive better outcomes across their retailer partners.
Duracell operates in a highly competitive and fast-moving retail environment, where even small gaps in on-shelf availability can translate into millions in lost sales. Despite strong internal capabilities, the company struggled to get ahead of availability risks at the shelf — especially across major retailers such as Walmart, Target, Kroger, Home Depot, and Amazon.
Traditional supply chain planning tools weren’t designed to keep pace with the speed and granularity needed to identify and act on these risks in real time. As a result, Duracell’s sales and customer supply chain teams often reacted too late, relying on manually built, ad-hoc reports and missing critical opportunities to keep products in stock where they mattered most.
To grow revenue and improve service levels, Duracell prioritized transforming its customer supply chain — not by adding another retail analytics tool, but by deploying a system purpose-built for its customer supply chain. This solution empowers its teams to detect shelf-level risks in real time, drive coordinated cross-functional action, and recover sales before they’re lost.
Duracell partnered with bops to equip its sales and customer supply chain teams with the tools to take fast, targeted action that help resolve issues at the shelf and across it's supply chain network.
Using purpose-built, automated workflows and predictive insights, Duracell was able to:
By easily configuring its E2E supply chain network within the bops platform, and leveraging granular shelf-level data/signals/insights with customer-specific workflows, Duracell transformed how its teams operate.
This allowed them to collaborate seamlessly—both internally and with retailer partners—shifting from constantly reacting to issues to proactively preventing problems and driving revenue growth through smarter, data-driven decisions.