CLIENT SUCCESS STORY

Explore How We Streamlined eCommerce Order Analysis with Executive Dashboards

THE CLIENT

A Prominent Footwear Company with a Nationwide Presence

Our client is one of the UK’s oldest and largest shoe manufacturers, known for their premium-quality footwear. They distribute their products through branded stores, third-party retail showrooms, online platforms, and wholesale channels, including major department stores.

PROJECT REQUIREMENTS

Monitoring eCommerce and Offline Orders

The client encountered significant challenges in managing their offline and online supply chain processes. Having only recently entered online marketplaces like Amazon and eBay, they struggled with the complexities of tracking orders, and updating inventory and pricing across multiple platforms.

Moreover, balancing offline operations while expanding their online presence became increasingly difficult. This led to price discrepancies and inventory mismatches, resulting in many products being sold at minimal or no profit margins. The involvement of multiple platforms further complicated the task of consolidating and analyzing accurate ROI data.

OUR PROPOSAL

An Integrated Solution for Offline and Online Operational Visibility

After reviewing their current workflow, we identified several key needs:

  • Consolidate data from all eCommerce platforms (Amazon, eBay, Etsy) and offline channels into a centralized system for unified data integration, including orders, stock levels, sales, and prices.
  • Automate tracking and reporting by incorporating advanced analytics tools.
  • Develop dashboards to visually display sales trends, inventory turnover, product performance, and order comparisons across different channels.
  • Assist with inventory analysis to track stock levels, forecast demand, and optimize inventory turnover.

Enhancing eCommerce Operations through Comprehensive Data Management and Visualization

The proposed solution for eCommerce order analysis involved examining the data points used by the client to identify inconsistencies, quality issues, and gaps in their existing eCommerce inventory management system. After gathering this information, we optimized the process by defining key performance indicators (KPIs) and designing dashboards for more effective analysis.

Project Outcome

project outcome
A 50% reduction in manual tracking and updating of inventory and orders.
project outcome
Executive dashboards showcasing sales trends and channel performance led to a 30% increase in actionable insights.
project outcome
By identifying slow- and fast-moving products, they were able to reduce low-margin and obsolete inventory by up to 25%.
project outcome
Integrating machine learning-based services led to a 35% increase in demand prediction accuracy.