A leading North American specialty jewelry retailer, operating nearly 2,800 stores with close to $8 billion in annual sales, sought a more effective approach to inventory management. Their conventional order management system struggled to integrate store inventory efficiently, leading to surplus stock, suboptimal fulfillment decisions, and missed opportunities to serve customers better.
Within just one quarter, OneTruth’s predictive Available-to-Promise (ATP) and AI for Jewelers sourcing logic reduced $5 million in excess inventory, boosted online conversions by 17%, and improved fulfillment efficiency—without requiring costly infrastructure upgrades.
As North America’s largest specialty jewelry retailer, this company operates thousands of stores alongside a thriving online business. To improve profitability and meet evolving customer expectations, they needed a smarter fulfillment strategy—one that could reduce stock imbalances, leverage aging store inventory, and enhance their ability to make accurate, real-time fulfillment promises using modern retail jewelry tools.
Despite its scale, the retailer’s legacy order management system (OMS) struggled to prioritize aging store inventory in fulfillment decisions, creating several challenges. Excess stock often accumulated in underperforming locations, leading to markdowns and financial losses. Rigid sourcing rules favored distribution centers over stores, even when local inventory could fulfill orders faster and at a lower cost. Additionally, OMS performance limitations made it challenging to incorporate new business logic without requiring expensive infrastructure upgrades. These inefficiencies resulted in missed revenue opportunities and higher carrying costs, highlighting the need for a more flexible and intelligent solution.
To modernize its inventory strategy, the retailer integrated OneTruth with its legacy OMS without disrupting operations. OneTruth provided a real-time, unified inventory view across stores and distribution centers, enabling more precise fulfillment decisions. It introduced an intelligent SKU and store ranking system that prioritized aging stock while balancing fulfillment constraints. Additionally, its predictive ATP capabilities ensured more accurate delivery promises, increasing customer confidence and improving the overall shopping experience.
Instead of replacing the existing sourcing engine, OneTruth seamlessly extended it, incorporating dynamic store inventory rankings based on sales velocity, capacity, and product age. This approach allowed the retailer to make smarter, more cost-effective fulfillment decisions without requiring a complete system overhaul.
Within just one quarter, the retailer saw measurable improvements in fulfillment efficiency and inventory optimization. $5 million in excess inventory was eliminated, and online conversions increased by 17% as customers benefited from more reliable delivery promises. More online orders were fulfilled from underutilized stores, reducing carrying costs and minimizing markdowns. The entire deployment was completed in under three months with zero downtime.
By adopting OneTruth, the retailer has enhanced profitability, improved customer experience, and built a scalable, AI-powered inventory strategy, all while optimizing their existing infrastructure.
The retailer cut $5 million in excess inventory within a single quarter after implementing OneTruth's predictive Available-to-Promise (ATP) and sourcing logic.
Online conversions rose by 17% as more accurate, predictive delivery promises gave customers greater confidence at checkout.
The full deployment was completed in under three months, with zero downtime and no disruption to existing store or e-commerce operations.
No. OneTruth was integrated with the retailer's legacy OMS rather than replacing it, extending the existing sourcing engine with dynamic store rankings based on sales velocity, capacity, and product age.
Their legacy OMS relied on rigid sourcing rules that favored distribution centers over stores, so aging store inventory sat unsold while orders were fulfilled from farther away at higher cost, leading to markdowns and lost revenue.
It gave the retailer a real-time, unified view of inventory across stores and distribution centers, then applied an intelligent SKU and store ranking system to prioritize aging stock while balancing fulfillment speed and cost.
A North American specialty jewelry retailer operating nearly 2,800 stores with close to $8 billion in annual sales.
Predictive ATP forecasts real inventory availability across the network before promising a delivery date, which is critical for jewelry retailers managing high-value, low-velocity SKUs where overpromising or stockouts directly hurt customer trust.
