Jam Jam App

Mobile based, Simple-to-use, real-time processing information reporting app with AI based analytics.

Pie and Bar chart display for Seed Processing Service Providers (Tollers) including Cold Storage and Dryer Operations.

App's various features make it ideal app. for Plant managers, Decision makers and Industry Owners.

A. Seed Processing Units:

1. Daily attendance:
Creates daily display and monthly reports for all types of plants including Cold storage and Dryers (Entire group or Individual plants).

2 .Operation Wise Details such as
no of labour/Hamali deployed per operation, Cost incurred, Per day Qty. of crop handled/processed/packed (Variety wise and client-wise),Breakdowns etc.

3. Cost Control Triggers : Labor utilization efficiency, Crop Processing/packing cost per kg, Plant utilization efficiency etc etc.

4. Report Generation : It generates daily and monthly reports for decision makers & top management.

5. Invoice Generation : App. generates and triggers monthly invoices for clients.

6. Expenditure:App captures plantwise routine and non-routine expenses on daily basis.

B.Cold Storage:

1.Captures Complete inventory management (Incoming and outgoing),

2.Report Generation:

Auto generation of inward and outward report,

Daily and monthly report.

3. Monthly Invoice/bill Generation for clients

C. Dryer Plants:

1. Process Data Capture and online display in real time: Incoming crop variety wise truck details with qty, moisture level, Turn-around time of trucks, Unloading time into Bins, Hamali and sorting cost, Overall unloading Process efficiency calculation.

2. Bin performance and Drying cycle time
Bin wise, Hybrid wise drying time and drying cycle efficiency display. Gas and electricity consumption inputs.

3. Shelling Time with percentage of yield Calculation. Qty-billed-to- client details etc.

4. Report Generation:
Daily report generation,
Monthly report Generation, Season's report generation

5. Costing:
Hybrid wise per kg cost of drying and dryer efficiency calculations and display in analytics with season's earning projections.