AI-Powered Order Management System | ERPNow

A fashion catalog analyst utilized apparel order management software to evaluate pricing gaps across a 12,491-item catalog by extracting unstructured text descriptions into structured visual metrics. The resulting dashboard reveals that 74.3% of listings fall between ₹500 and ₹1.9K, while a combo chart exposes that the Unisex category commands the highest average price at ₹2,161 despite lower product counts than the 5.1K women's items. This level of visibility allows category managers to present concrete pricing benchmarks and immediately address assortment imbalances without manual data manipulation.

What it shows:

Structuring raw catalog data enables immediate strategic review of pricing and assortment gaps.

An e-commerce analyst integrated siloed website traffic and sales data into their omni channel order management platform to quickly identify where conversions were leaking. The unified dashboard displays 69,872 filtered sessions generating $4,862,588 in sales, highlighting anomalies like the Garden Equipment page acting as a major traffic sink with $291,361 in at-risk revenue. A log-scaled scatter plot maps sessions versus sales by page, allowing the analyst to instantly spot high-traffic, low-conversion outliers across devices and platforms without manual data plumbing.

What it shows:

Unifying traffic and sales metrics reveals conversion inefficiencies and at-risk revenue instantly.