ConverSight Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Track products to determine when they are shipped, in transit, or delivered.

Allow users to re-route and reschedule shipments based on standard or custom criteria.

Optimize inventory to improve fulfillment and increase customer satisfaction.

Manage multiple delivery modes such as truckload, less than truckload, rail, parcel, and ocean.

Identify the financial impact of deliveries based on costs and revenues.

Provide performance metrics such as delivery performance, on-time arrival performance, and compliance.

Use supply chain data to identify trends and their impact on performance.

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Ability to track components across the supply chain to identify the causes of non-compliance.

Provide a search engine to find items and where they are in the supply chain.

Ability to identify and document exceptions for perishable goods and temperature-controlled environments.

Ability to track inbound products to determine when they are shipped, in transit, or delivered.

Ability to track and search for the location of shipments by PO or SKU

Ability to use historical tracking data and machine learning in order to accurately predict ETAs

Ability to establish geofences to determine precise and accurate arrivals

Access up to date rates from carriers, including spot market

Ability to request a bid from multiple carriers and directly book shipments

Ability to manage and automate invoices

Ability to utilize paperless documents to automate reconciliation process including bills of lading, proofs of delivery, and weight certificates

Ability to access data enrichment, sources, & normalization to serve up actionable and clean data

Provide support for multiple languages

Provide rule-based notifications to empower real-time collaboration at key milestones and quickly resolve issues.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying