At one of our customers, a revolutionary startup in the retail industry with a computer image technology, most of the recognition tasks are automatically analyzed on-line by the state of the art deep learning and machine learning algorithms. On top of the automatic process, thousands of different tasks need to be manually analyzed from varies reasons such as quality ensures, complete gaps of the automatic process and launch new project, to name few. Needless to say, all these tasks need to be managed
:The business need
Gain productivity and efficiency by
Switching from manual to automatic management by routing tasks to skilled employees according to company commitment to customer and employee workload
Moving from a single tenant to a multi-tenant system
Handle a big scale of tasks
:The Project goals
Route tasks according to business value – supporting business agility
Automate resource blending – eliminate manual rebalancing
Decrease time between tasks – forcing process compliance
Ensure work is distributed to employees based on skills and proficiencies
Work tasks from various Projects
>> Prioritized work tasks according to Business/Customer value and employee capabilities
>> Optimally distributes work tasks, to the Right employee, at the right time
Project methodology
Defining operational concept – Expertise based on customer/task specifics
Mapping existing condition
Business design for tasks workload management including
Definition of routing methodology
Definition of Skills and Expertise
Definition of Business rules in order to implement the defined operational and business concept
:The Project Deliverable will lead the company to
Optimally distribute work tasks according to company business needs
Reduction of management resources
Increasing company agility
Working according to customer SLA