You will get Hourly incoming volume AI predictions for your call center or any service.
Project details
This project is designed to assist Workforce Management (WFM) professionals in planning and scheduling for call centers or back-office contact centers, without requiring any coding environment. The essential requirements are a Google Drive account and the installation of the Google Collaboratory extension. For optimal performance, it's recommended to have historical data on an hourly basis for incoming calls or other task volumes spanning the last three years to effectively capture seasonal trends. If three-year data is not available, two years of historical data can still identify recent trends. With less data, only basic patterns may be discerned.
Machine Learning Tools
Keras, Python, TensorFlowWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$4,000
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 0 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Graphs/Charts | 3 | 9 | 15 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $2,000
Additional Revision
+$1,000
Additional Model Variation
(+ 10 Days)
+$2,000About Amiran
ML engineer
Tbilisi, Georgia - 6:52 am local time
Steps for completing your project
After purchasing the project, send requirements so Amiran can start the project.
Delivery time starts when Amiran receives requirements from you.
Amiran works on your project following the steps below.
Revisions may occur after the delivery date.
Collecting data sources
At this stage Client should provide required data for further analysis.
Fitting model to data
Rendering model for specific data source and optimizing model performance.