Machine learning recognizes patterns in data structures to speed partner onboarding, minimize errors, and reduce manual mapping work.
AI with OCR extracts, categorizes, and formats unstructured data from invoices, POs, and emails for seamless EDI transmission.
Adaptive validation tools ensure compliance with EDI standards, reduce rejections, and learn partner rules for future use.
Cognitive AI lets you automate legacy & back-end systems freeing up people to engage in more productive activities.
With token authentication & computer recognition authentication the right people will have access to the right information at the right time
Enjoy a Virtual Support Agent that can answer repetitive queries, reset passwords, deploy software, escalate tickets to human agents & more.
AI reduces manual tasks by classifying documents, ensuring data accuracy, converting formats, resolving errors, and optimizing processes.
Automates document conversions between EDI formats, reconciles mapping discrepancies, and reduces partner onboarding from weeks to minutes.
Automating processes reduces labor, rework, and delays—cutting operational expenses while keeping your business running smoothly.
AI dynamically allocates processing bandwidth based on workload demands, handling increased transaction volumes without costly upgrades.
AI enforces data consistency by auto-validating formats and correcting discrepancies, ensuring high-quality data for every EDI transaction.
Pattern recognition predicts workload demands, dynamically adjusts resources, optimizes performance, and prevents bottlenecks.
- Connects to approved systems and retrieves data via governed workflows
- Responds with static, standardized answers that match your business rules
Ideal for status checks, lookups, and operational dashboards
- Designed for low risk, high trust environments (compliance-friendly)
“Show me all open orders for Customer X.”
“List invoices that failed in the last 24 hours.”
“Fetch the last three shipments to Retailer Y.”
- Uses LLMs on top of your data to summarize, compare, and explain
- Handles “why” and “how” questions, not just “what” and “how many”
- Produces executive-ready narratives (email summaries, incident explainers, weekly overviews)
- Can perform light analysis (top drivers, simple aggregations, basic segmentation)
“Why did fill rates drop last week for Region A?”
“Summarize all EDI exceptions for this customer and group them by root cause.”
“Compare this quarter’s orders vs. last quarter for the top 5 retailers.”
- Plans multi-step workflows: gather data → analyze → visualize → notify → (optionally) update systems
- Creates graphs, dashboards, and drill-down views on demand
- Runs predictions and forecasts on sales, demand, inventory, exceptions, and SLAs
- Monitors KPIs and thresholds, then proactively alerts or acts based on predefined rules
- Integrates with email, Teams/Slack, ticketing tools, and line-of-business apps to close the loop
“Forecast next quarter’s sales by customer and flag at-risk accounts.”
“If EDI failure rate exceeds 2% for any retailer, alert the team and generate a root-cause report.”
“Prepare a weekly executive summary with charts and forecasts and send it every Monday at 8 AM.”
