Maples (Trial Version)

Marketing of Agricultural Products Leveraging Electronic Systems

MAPLES:

"Marketing of Agricultural Products Leveraging Electronic Systems" (MAPLES) is used in Marketing of Agriculture products in the remote location to farmers or end users through dealers, retailers, using a dedicated sales force is a complicated process and companies like yours have mastered the process over the years.

The process includes product branding, product display, product promotion, dealer management, and most importantly managing the sales force to reach to the nook and corners of the market.

The process can be made easy, accountable and forecasting is possible using mobile technology, which is cost effective and subsequently eradicates back office processing efforts.

The Technology solution proposed is through use of Android based mobiles, integrated with web based reporting and monitoring system.

On-field employee can capture the details on the following using Maples Application:

• Activity details logging

• Closing Stock Taking

• Collection Entry

• Order Booking

• Crop Update

• Farmer's Record

• Dealers Record

• Product Demand and Sale

Maples also generates variety of MIS reports out of which the few are listed below:

• Employee KPI & KRA Reports

• Employee Movement Summary Reports

• Employee Performance Summary Reports

• Dealers Stock Report

• Product Sale Reports

Key features:

• The system is configurable as per your business model and business processes making it easy to migrate from the existing system to mobile management system.

• Real time capture of audio, pictures and video’s is possible System can be integrated with your existing technology platform

The details captured by Pillars application will be used by MAPLES to help on-field employee to automatically identify the Geo Tagged Dealer and Village to perform commercial activities, sales and visits to the end customers. It is not mandatory for the user to use Pillars data to execute Maples application. MAPLES can be independently used without the help of Pillars data.