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Development of an Analytics Dashboard for Multi-Channel Sales Monitoring and Optimization
  1. case
  2. Development of an Analytics Dashboard for Multi-Channel Sales Monitoring and Optimization

Development of an Analytics Dashboard for Multi-Channel Sales Monitoring and Optimization

sevencollab
eCommerce
Business services

Identified Challenges in Tracking and Optimizing Multi-Channel Sales Performance

The client faces difficulties in accurately monitoring and controlling sales performance across diverse channels such as website, social networks, call centers, sales brokers, and bulk corporate sales across multiple regions. They need a centralized system to analyze sales data, improve conversion rates, identify effective sales channels, and enhance overall sales efficiency, while reducing management and analytics costs.

About the Client

A mid to large-scale manufacturer with a comprehensive end-to-end production process and a global online sales presence, needing advanced sales data analysis across various channels.

Goals for Implementing a Sales and Marketing Analytics System

  • Automate and centralize the analysis of sales data from multiple sources across all regions.
  • Enhance the understanding of sales funnel performance and improve conversion rates.
  • Increase sales efficiency and revenue through targeted insights and real-time monitoring.
  • Provide geographic visualization of customer locations to improve regional sales strategies.
  • Enable comparison of sales performance across different time periods to identify trends.
  • Develop a comprehensive customer profile view, including historical sales data.

Core Functional Capabilities for the Analytics Platform

  • Automated collection and integration of sales data from various channels (website, social media, call centers, sales brokers, bulk corporate sales).
  • Real-time dashboards and customizable reports to monitor sales performance by product, channel, and region.
  • Online tracking of sales funnels to evaluate effectiveness at each stage.
  • Geospatial mapping to visualize customer locations and regional sales distribution.
  • Sales trend analysis with period-over-period comparison tools.
  • Customer profile analytics, including sales history, preferences, and previous years’ data.

Recommended Technologies and Architectural Approaches

Backend: Laravel, Lua, MySQL, MongoDB, WebSocket
Frontend: HTML5, CSS3, JavaScript, jQuery, Highcharts, Highmaps, Moment.js
Server: Apache, NGINX
Platform: Web application from scratch, scalable architecture

External System Integrations for Data Collection and Visualization

  • eCommerce platforms for sales data extraction
  • Social media APIs for marketing channel performance
  • Call center and CRM systems for customer interaction data
  • Mapping services for geographic visualizations
  • Database systems for historical and current sales data

Critical Non-Functional System Attributes

  • High scalability to accommodate increasing data volume and user load
  • Performance optimized for real-time analytics and dashboard responsiveness
  • Robust security measures to protect sensitive sales and customer data
  • Availability and reliability to ensure continuous data access and reporting
  • User-friendly interface for ease of use across departments

Projected Business Benefits of the Analytics System

Implementation of this analytics dashboard aims to improve sales effectiveness by approximately 27%, with potential cost savings on analytics and process management estimated at up to 18%. The system is expected to enable better decision-making, faster insight generation, and more targeted sales strategies, leading to increased revenue and operational efficiency.

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