Crisp Data Platform Features
Delivery (4)
Flows
Track products to determine when they are shipped, in transit, or delivered.
Alerts
Allow users to re-route and reschedule shipments based on standard or custom criteria.
Inventory
Optimize inventory to improve fulfillment and increase customer satisfaction.
Modes
Manage multiple delivery modes such as truckload, less than truckload, rail, parcel, and ocean.
Performance (3)
Financial Analytics
Identify the financial impact of deliveries based on costs and revenues.
KPIs
Provide performance metrics such as delivery performance, on-time arrival performance, and compliance.
Benchmarking
Use supply chain data to identify trends and their impact on performance.
Visibility (7)
Compliance
Ability to track components across the supply chain to identify the causes of non-compliance.
Search
Provide a search engine to find items and where they are in the supply chain.
Temperature Alerts
Ability to identify and document exceptions for perishable goods and temperature-controlled environments.
Shipment Tracking
Ability to track inbound products to determine when they are shipped, in transit, or delivered.
Order-Level Visibility
Ability to track and search for the location of shipments by PO or SKU
ETA
Ability to use historical tracking data and machine learning in order to accurately predict ETAs
Geofencing
Ability to establish geofences to determine precise and accurate arrivals
Workflow Automation (4)
Rating
Access up to date rates from carriers, including spot market
Dispatch and Tender
Ability to request a bid from multiple carriers and directly book shipments
Invoice Management
Ability to manage and automate invoices
Digital Document Reconciliation
Ability to utilize paperless documents to automate reconciliation process including bills of lading, proofs of delivery, and weight certificates
Network Management (2)
Geographic Optionality
Ability to access full coverage of required geographies
Automated Onboarding
Ability to efficiently onboard new carriers during network implementation
Platform (3)
Data quality
Ability to access data enrichment, sources, & normalization to serve up actionable and clean data
Languages
Provide support for multiple languages
Configurable Notifications
Provide rule-based notifications to empower real-time collaboration at key milestones and quickly resolve issues.
Functionality (2)
Data Exchange
Enables electronic document transfer between businesses and trading partners.
Data Mapping
Translates the EDI data back and forth, basically converts internal data format into the EDI standard format.
Management (3)
Workflow Management
Enables end-to-end automation of key EDI processes without any user intervention.
Exception Handling
Detects the EDI errors and instantly notifies and alerts the transmission issue.
Real Time Reporting
Provides a real-time customizable dashboard that allows users to track, monitor and manage transactions.
Integrations (2)
Third Party Integration
Allows integrations to business applications such as accounting packages, ERP software, E- commerce systems etc to streamline order processing workflow.
BI Tools Integration
Allows integration with third party reporting and business intelligence applications.
Security (2)
Communication Protocols
Supports encrypted file transfer protocols like VAN, AS2, FTP/sFTP and HTTPS.
EDI Standards
Built-in support for a wide variety of traditional and modern EDI standards as well as the ability to define custom standards.
Support (1)
EDI Testing
Creates a test environment for EDI transactions to verify them and ensure they adhere to industry compliance requirements.
Data Management (10)
Data Types
Gather multiple types of data from various sources
Consolidation
Consolidates data from multiple sources
Cleansing
Detect innacurate, incomplete, or duplicate commerce data
Validation
Ensure that the data complies with internal quality standards
Correction
Allow users to update the data to nesure its accuracy and validity
Consolidation
Consolidates data from multiple sources
Data types
Gather multiple types of data from various sources
Correction
Allow users to update the data to ensure its accuracy and validity
Cleansing
Detect innacurate, incomplete, or duplicate data
Validation
Ensure that the data complies with internal quality standards
Analytics (8)
Forecasting
Generate forecasts using historical data and market trends
KPIs
Include standard key performance indicators (KPIs) for retail and e-commerce
Dashboards
Provide customizable dashboards to display KPIs and forecasts
Integration
Integrate with bsiness intelligence and analytics software
KPIs
Monitor store key performance indicators (KPIs) in real-time
Forecasting
Generate forecasts using historical data and market trends
Reports and Dashboards
Creates reports and dashboards to analyze retail KPIs and metrics
Predictive analytics
Uses artificial intelligence (AI) to build forecasting models based on existing data sets
Mobile (1)
Mobile dashboard
Offer mobile dashboards to view retail KPI in real-time
Integration (3)
Marketplace
Allows integration with marketplace such as Amazon, eBay, Walmart, etc
Retail POS
Easily integrate with POS software to monitor sales and customer data
Other software
Allows integration with marketplace such as Amazon, eBay, Walmart, etc
Platform Additional Functionality (2)
Cloud
Provides a cloud based version of the platform
On-Premise
Provides an on-premise version of the platform
Generative AI (1)
AI Text Generation
Allows users to generate text based on a text prompt.
Agentic AI - Retail Analytics (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Retail Intelligence (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives



