AI ACCELERATORS

The accelerator enables the identification of important customer sentiments. Insights generated are aggregated and organized to aid effective decision-making.

Key features

• Categorization of customer feedback into business-specific categories
• Identification of key entities for action identification
• Sentiment analysis to reveal the lowest level customer insight
• Analytics dashboard with customized and actionable reports
• Monthly/quarterly trend reports for tracking the impact
• Multiple language support

Business application

• Customer feedback forms on products & services across domains
• Employee survey or feedback
• Online product feedback

A digital assistant to fill all missing data and reduce the complexity for the user to search.

Key features

• Dynamic dialog generation for bot based on product catalog
• Minimize deliverable time compared to coding each dialog
• Auto-train NLP model & DDM with changes in catalog
• Near real-time event-based catalog updating
• Configurable question order of DDM dialogs for a different product(s)
• Independent of channel

Business application

• Retail eCommerce: Optimized online shopping experience
• Manufacturing: Identify the part/machine information being searched
  
  

In the New Normal era, businesses need to find innovative ways to optimize Last-mile delivery at a reduced cost, increase service levels, and maximize resource utilization.

Key features

• Downloadable route plans with visual navigation details that minimize travel distance while maximizing service levels
• Integration with Mapbox APIs
• Machine learning models that predict distance and duration between locations
• Flexible and customizable to additional business needs and constraints
• Efficient results and 5x faster performance as compared to other tools

Business application

• Supply chain: Delivery of goods between different echelons of the supply chain
• On-demand delivery companies
• Robot and autonomous vehicle navigation
• Network routing and load balancing

A holistic solution to facilitate strategic budget decisions by reallocating spends across categories and brands hosted on Dash and Python.

Key Features

• Reallocate spends across categories and hosted brands to facilitate strategic budget decisions
• Handle log-log and linear models
• Manage a complete portfolio of brands
• Run multiple iterations of the meta-heuristic optimization algorithm
• Reduce efforts significantly

Business Application

• FMCG/CPG, quick service restaurants
• Telecom, hospitality, pharmaceuticals
• Any domain where significant investment is done on various marketing channels

Optimal job scheduling is a solution for a dynamic production environment that enables optimal scheduling of incoming jobs to reduce delays, increase capacity utilization, and react to dynamic events.

Key features

• Instantaneous scheduling decisions by advanced machine learning agent
• The scheduler can react to multiple events like scheduled maintenance, machine breakdown, and new job inflows
• Customizable program tailorable to different scheduling problems such as employee scheduling
• Visualization of plans through gantt chart and calculation of various KPIs

Business Application

• Manufacturing: Scheduling incoming jobs in an assembly line
• Employee roster: Schedule employees in shifts and complex staffing requirements
• Conference schedule: Assigning conferences to rooms and time slots

This accelerator addresses complexities pertaining to scale as well as missing observations that impact the quality of forecasts and generates the optimal results by selecting the best configuration out of countless models.

Key features

• Ability to select the best performing configuration out of 1000s of configurations
• Customizable solution tailorable to various business needs
• Automated baseline forecasts
• Works with hourly, daily, weekly, monthly and yearly data
• What-If analysis to assess the impact on forecasts
• Visualization and diagnostics for model improvement

Business application

• Across domains: Sales/Demand/Revenue/Lead Time forecasting​
• Energy & Utility companies: Load forecasting for grids​
• Public Sector: Economic/Social/Population indicator forecasting

The accelerator helps in migrating diverse databases to cloud-based data warehouses in a quick and cost-efficient manner without impacting the performance of the source databases.

Key features

• Cost-effective: Pay only for the server resources used to run the utility
• Supports widely used databases & is easy to use
• Parallel processing of workloads with a robust failover mechanism
• An end-to-end automated tool which can be scheduled and requires minimum user intervention
• Supports the migration of large objects like BLOBs

Business application

• BFSI, Healthcare, Gaming, Telecom, Manufacturing, Automotive, Travel and Aviation

The target data is compared against original and ongoing transformed source data to ensure that the integration architecture has moved and/or transformed data correctly.

Key features

• Saves efforts by automating the manual process
• Saves cost by avoiding the use of commercial tools
• Conducts vital (quality) checks after data loads/ETLs and prevents data quality issues
• Runs on databases having a high volume of data
• Inbuilt logging functionality and generates failure report
• Operates on a configuration file and automatically generates the test cases for validating the data quality

Business application

• BFSI, Healthcare, Gaming, Telecom, Manufacturing, Automotive, Travel and Aviation