Features of Ongo Sales
Below are the framework level features on which Ongo Sales is built on. Ongo Sales is built on five principles:
Abstract the DB schemas, structures, to the businesses. Example: based on an excel sheet, update of data DB must be created. This includes:
- Patent pending relational DB schemas
- Data indexing on flat DB structures
- SQL Query abstraction etc.
All the master data is exposed through API. Business logic such as loyalty, order management, workflow management are abstracted through a predefined set of APIs and with an excel sheet update.
User definitions like Roles, responsibilities are completely abstracted. For example Ongo Sales is capable of building a doctor-patient model or retail e-commerce model. In case of doctor or patient, there are lot of parameters to be saved and incase of retail its different parameters. Ongo Sales abstracts it all.
User Interface abstraction:
Ongo Sales customizes user interface of native android/IOS/web apps with its machine learning based cognitive UI. Businesses don’t have to be worried about what kind of UI they want. System generates UI based on the best practices of the industry and brand preferences. This is at two levels:
- Consumer UI
- Employee (role based) UI
Ongo Sales has built in mechanism to organize un-organized data. Whether the business information is pulled from organized sources like eBay, amazon, Shopify etc. or from un-organized sources like social media, Ongo Sales relationally models it in its own structures. Thus, business data can be pooled Maintenancefrom multiple sources.
Ongo Sales has built in mechanism to organize un-organized data. Whether the business information is pulled from organized sources like eBay, amazon,Shopify etc. or from un-organized sources like social media. Ongo Sales relationally models it in its own structures. Thus, business data can be pooled from multiple sources.