StrongPoint has announced the StrongPoint RetailQ launch, introducing a new analytics service designed to improve grocery e-commerce order picking operations.
RetailQ uses digital simulation tools and virtual pick bots to model grocery fulfillment workflows. The system enables retailers to evaluate operational performance, test different picking scenarios, and identify areas for cost savings and efficiency gains.
The service offers a detailed analysis of in-store order picking by assessing pick paths, workflow structures, labor deployment, and service standards. RetailQ also supports benchmarking, allowing retailers to compare store performance and adopt best practices.
Using RetailQ, grocery retailers can identify operational bottlenecks, detect underused processes, and test improvements virtually before applying them across store networks. The service also evaluates equipment, staffing levels, and substitution rates during the picking process.
StrongPoint said the RetailQ service is designed to help grocery retailers reduce costs by streamlining workflows and improving labor allocation. Recommendations are generated based on the retailer’s own fulfillment data, producing insights tailored to each operation.
RetailQ highlights improvement areas by potential impact, helping retailers focus resources on changes that drive measurable results. A built-in business case generator projects cost savings and efficiency gains based on the proposed operational changes.
The StrongPoint RetailQ launch expands the company’s portfolio of fulfillment tools and digital solutions. It follows a series of releases focused on automation and optimization in the grocery e-commerce space.
Retailers using RetailQ receive reports detailing performance metrics and scenario analyses, with recommendations tied to specific workflows, equipment, and process improvements.
The StrongPoint RetailQ launch is now active and available to grocery retailers seeking to enhance their in-store picking operations.
