Supply Chain & Logistics
Supply chains generate an explosion of operational data spread across systems. Datafi connects the full picture so AI can reason over real operations and take action, not just generate reports.
Critical information lives in too many places. Decisions are made with partial context.
Procurement, transportation, warehousing, fulfillment, and invoicing each generate data in different formats, owned by different teams, across different tools. The first job in any workflow becomes hunting and reconciling information.
AI tools operate alongside processes, not inside them. Conversations stop at advice while employees still have to find data, run analysis, and execute follow-up actions across multiple systems manually.
Without built-in permissioning, data lineage, and auditability, AI adoption stalls because the risk feels too high. Security and compliance get bolted on after deployment, creating gaps that grow with scale.
The Solution
Datafi brings together a unified data experience, policy-driven control, and agentic workflows so organizations can move from AI that answers questions to AI that solves problems across supply chain operations.
1 unified
Data Experience
Every employee interacts with the complete operational picture
100% governed
By Default
Every agent inherits authentication, authorization, and audit trails
1000s daily
Micro-Decisions
AI handles the operational backbone of routing, exceptions, and audits
E2E context
Full Ecosystem
TMS, WMS, ERP, EDI, carrier portals, and spreadsheets connected
Use Cases
Document Automation
Bill of Lading workflows involve repetitive steps, manual data entry, and compliance checks that consume hours of operational time. AI streamlines document creation, validates required fields, cross-checks shipment details, and flags discrepancies before they become delays or chargebacks.
Auto-populate BOL fields from shipment and order data
Cross-check compliance requirements before submission
Flag discrepancies and route for resolution automatically
Transportation Planning
Route and mode decisions require balancing service levels, capacity constraints, cost, and real-time disruption signals. AI workflows evaluate routing options, incorporate current constraints, and recommend or execute changes with auditable reasoning and business rules.
Evaluate multi-modal routing against live constraints
Balance cost, service, and capacity trade-offs automatically
Respond to disruptions with auditable decision logic
Freight Audit
Freight invoices and accessorial charges frequently contain errors, mismatches, or missed recovery opportunities. AI agents compare invoice line items against contracts, shipment events, and agreed terms to identify recoverable charges and trigger dispute workflows with supporting evidence.
Compare invoices against contract terms automatically
Identify recoverable charges and accessorial mismatches
Generate dispute workflows with evidence documentation
Proactive Resolution
Late pickups, missed appointments, inventory mismatches, and allocation issues are unavoidable. What matters is response time and resolution quality. AI workflows monitor event signals, triage exceptions, recommend next-best actions, notify stakeholders, and keep customers informed, all while logging actions for continuous improvement.
Monitor and triage exceptions in real time
Recommend next-best actions with auditable reasoning
Log all actions for continuous process improvement
The Contextual Layer
Supply chain decisions depend on context: business rules, service commitments, carrier performance, contract terms, inventory positions, customer priorities, and the messy reality of what is happening right now. For AI to move beyond answering questions and into solving problems, it needs a contextual layer that connects models to real operations. This is not about calling an API or generating a response. It is about creating an environment where AI can reason, act, and learn inside the guardrails of the business.
Identify service failures across multiple systems
Predict overruns before invoices arrive
Balance expedited shipping against customer value
Improve decision logic from observed outcomes
The Platform
Four layers working together so logistics teams can build, govern, run, and secure AI that operates inside real workflows.
Outcomes
When everyone from a transportation analyst to a customer service representative can access the same source of truth through an intuitive interface, operational alignment improves dramatically.
Employees no longer lose hours searching across systems or waiting on specialized teams. AI puts trusted, governed, contextual information in front of the right person at the moment of action.
Answers are grounded in enterprise context, not just one system's view. AI reasons across TMS, WMS, ERP, EDI feeds, carrier portals, and contract data to deliver evidence-based recommendations.
Workflows become repeatable and measurable rather than ad hoc. AI ensures the same quality of routing, auditing, exception handling, and communication every time, regardless of who is on shift.
Datafi gives supply chain teams the operating system to deploy AI agents and workflows across roles, processes, and systems, without sacrificing governance or usability.
No commitment required • Enterprise-ready from day one
See how Datafi can transform your business AI strategy in a personalized walkthrough.