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Sales Forecasting and Business Performance Analytics Platform Development
  1. case
  2. Sales Forecasting and Business Performance Analytics Platform Development

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Sales Forecasting and Business Performance Analytics Platform Development

effectivesoft.com
Food & Beverage

Challenges

Nissin Foods U.S.A. Co., Inc. faced challenges in automating sales planning processes, managing sales forecasting data effectively, and gaining timely insights into sales performance to optimize business strategies. The existing processes were manual and lacked efficient document management.

About the Client

A subsidiary of a global Japanese food company specializing in ready-to-cook food and instant noodles, operating in multiple countries with a worldwide sales presence.

Project Goals

  • Develop a centralized sales forecasting and analytics platform to automate the forecasting process.
  • Improve data management and accessibility for sales planning.
  • Enhance sales performance analysis capabilities.
  • Provide data-driven insights to support strategic decision-making.
  • Enable secure access to sales forecasting data across the organization.

Functional Requirements

  • Automated sales forecasting based on historical data.
  • Sales performance analysis and comparison (current vs. previous fiscal year).
  • Data visualization through charts and diagrams.
  • Support for multiple user roles (Admin, Broker, Sales Manager, Supervisor, Sales Finance, VP).
  • Historical record of forecast changes (person, date, time, reason).
  • Two-way data exchange with third-party business management solutions.
  • Excel data import (.xls).
  • Data export functionality.

Preferred Technologies

Azure
Azure Active Directory
.NET Framework
WebAPI
Entity Framework
Highcharts
Bootstrap
TypeScript
JSON
TSQL

Required Integrations

  • NAV (Microsoft Dynamics NAV)
  • Other third-party business management solutions

Non-Functional Requirements

  • Scalability to handle large datasets and growing data volumes.
  • High performance for fast forecasting calculations and data retrieval.
  • Robust security to protect sensitive sales data.
  • Secure access via standard web browsers.
  • Reliable data warehouse to ensure data integrity.

Expected Business Impact

The development of Web Planner is expected to improve the accuracy of sales forecasts, streamline sales planning processes, enhance decision-making capabilities, and ultimately contribute to improved financial performance for Nissin Foods U.S.A. Co., Inc.

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