Monday, September 7, 2015

Process Automation : e-Commerce : Order Management : Order Loading and Order Extraction

Just AUTOMATIC


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e-Commerce Business Order Management

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:: Order Loading ::

Concept:
Order reloading Process Automation.

Existing Process: 
It's a e-Commerce B2B online application.  Enduser can select the items; and place the orders by online.  Application is having two possible ways of order processing.  (i) Manual Order Process, (ii) Bulk Order loading Process.  
In 'Manual Order Process', enduser can choose the items selectively at front-end system, while placing the order.  This process is helpful if the order is having very less/limited number of items.  
In 'Bulk Order loading Process', B2B client has to provide prior inform about the order(s) to the 'Application Administrator' in the form of specific TXT format.  Then the TXT formatted orders would be loaded in to the system.  The successful loaded orders would appear at front-end system.  Now, enduser can place the order with (selected) items, at front-end system.  This process is helpful for bulk orders; and also, if the order is having bulk number of items.  
      
Issue & Risk: 
While loading orders through 'Bulk Order loading Process', orders may 'failed to load' into the system, due to many reasons, i.e., (i) mis-configurations in the system; (ii) missing required/mandatory data at TXT; (iii) remarks in TXT formatted data; or any.    
After fixing the required configuration issues, 'Application Administrator' would reload the orders by selecting specific orders through separate tool.  It's a manual process.  It's a risk in case of handling Bulk orders.              

Challenges:
*) No documentation available.  So, every step is a 'trail and make' process.
*) Each process is the combination of multiple customizations, those are related to different clients.  So, I need to take care about impact analysis while taking a decision at each level.

Requirement
Order reloading process has to be automated.  

Issue Resolution: 
Order reloading process is incorporated as part of the basic Order loading process.  Now, 'Application Administrator' need not worry about Order reloading process.  Once the configuration issues are fixed by him/her, order loading process would collect the 'Issue-Fixed Orders'; and then, revalidate and reloaded them into the system....... automatically.       

Conclusion: 
The concept is very much helpful to improve the 'accuracy with rapidness' in 'order reloading' process.  

Benefit:
Complete 'order reloading' process is automated.


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:: Order Extraction :: 


Concept:
IPP Order extraction Process Automation.

Existing Process: 
Once the endusers have placed the orders at front-end system, the orders would be extracted in the form of flat text files and then passed on to legacy system for processing.
    
Issue & Risk: 
While performing extraction of orders, orders may 'failed to extract' from the system, due to some specific mis-configuration reasons.    
After fixing the required configuration issues, 'Application Administrator' would make some changes at database to initiate re-extraction process.  It's a manual process.  It's a risk in case of handling Bulk orders.              

Challenge:
No documentation available.  So, every step is a 'trail and make' process.

Requirement
Order re-extraction process has to be automated.  

Issue Resolution: 
Order re-extraction process is incorporated as part of the basic Order extraction process.  Now, 'Application Administrator' need not worry about Order re-extraction process.  Once the configuration issues are fixed by him/her, order extraction process would collect the 'Issue-Fixed Orders for Extraction'; and then, revalidate and re-extract them for the legacy system....... automatically.
And also, make a provision to extract the specific order(s) at any point of time, for the convenience of 'Application Administrator'.       

Conclusion: 
The concept is very much helpful to improve the 'accuracy with rapidness' in 'order re-extraction' process.

Benefits:
Complete 'order re-extraction' process is automated.


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