About Appian & Our Partnership
Our solutions

This solution leverages machine learning & predictive capabilities for fraud detection to overcome the traditional statistics perspective. It processes a variety of data without being judgemental around the relevance of the data elements. It makes use of the knowledge gained through the historical data and leverages complex algorithms that iterate over large data sets and analyze the data patterns. The ML model works on a 3 stage cycle Train-Test-Predict. Optimizing the model by continuously adding data & experience makes predictions more accurate (unsupervised ML).

Last Mile Delivery is a persona driven unified platform that enables seamless collaboration between customers, warehouse managers and delivery agents through process automation. It dirves uberized warehouse order assignation to delivery agents via dynamic decisioning rules and improved operational excellence with transparency around track & trace. The key solution highlights are:
- 360 degree System of Records
- Reporting dashboards
- Google Maps API Integration
- Rules based order assignation
- Omni channel experience
- Efficient Task Management

The procurement & Inventory Management system allows users to manage and maintain the inventory of the SKU items with multiple suppliers in order to efficiently process and fulfill the procure-to-pay cycle. The key solution highlights are:
- 360 degree view of Inventory and purchase orders
- Tasks dashboard and one-click approval
- Scheduled jobs to check threshold level of SKU items
- Rules based auto assignation of suppliers
- SLA based notifications
- API- integration with Google maps
- Creation of excel data sheet for management review
This solution leverages machine learning & predictive capabilities for fraud detection to overcome the traditional statistics perspective. It processes a variety of data without being judgemental around the relevance of the data elements. It makes use of the knowledge gained through the historical data and leverages complex algorithms that iterate over large data sets and analyze the data patterns. The ML model works on a 3 stage cycle Train-Test-Predict. Optimizing the model by continuously adding data & experience makes predictions more accurate (unsupervised ML).