Solutions > Supply Chain
THE CHALLENGE
Your OTIF dropped three points last week, and nobody can tell you which warehouses are driving the miss.
The reality is brutal: inventory data lives in your WMS, shipment visibility sits in your TMS, supplier performance hides in your ERP, and carrier updates arrive via email. By the time your analysts pull CSVs, reconcile definitions across regions, and build the exception report, the customer penalty is already accruing. Your planning team is running forecasts on stale demand signals while operations expedites blind to avoid stockouts.
Finance wants to know why freight spend spiked, but the answer requires stitching together three dashboards that define fill rate differently. Every exec review turns into a reconciliation meeting instead of a decision. Root cause takes days when you need it in minutes, and the cost is compounding: premium freight, lost margin, service failures, and a team stuck firefighting instead of optimizing the network.
The time lag between disruption and response is where revenue dies, but it does not have to stay this wide.
Supply CHAIN SOLUTIONS
Continuously adjust demand or inventory plans based on sales forecast at granular levels of precision using agentic analytics to optimize stocking and sales.
Drive cost savings using AI insights and agentic workflows on POs, invoices, and spend by category, materials, and suppliers.
Identify which carriers, lanes, and SKUs are driving on-time in-full misses before customer penalties hit. Drill from aggregate service level down to specific shipment exceptions and root cause in seconds instead of waiting for weekly reconciliation reports.
Surface inventory imbalances across distribution nodes before stockouts or excess holding costs compound. Connect days of supply with demand forecast shifts and supplier lead time variability to rebalance the network proactively instead of reactively expediting.
Improve supplier collaboration on procurement orders, delivery, lead times, and quality by embedding agentic analytics in a supplier portal.
Use equipment/IoT data combined with other data sources e.g. technician notes to improve equipment utilization, up-time, predictive maintenance, and production efficiencies (OEE.)
Analyze carrier performance, lane economics, and service level trade-offs to optimize your transportation network. Identify opportunities to shift volume between carriers or modes based on cost, speed, and reliability.
Protect bottom-line margins by identifying the root causes of product returns and optimizing reverse logistics through predictive behavior modeling.
PLATFORM CAPABILITIES

OTIF means different things to different regions, and fill rate definitions vary by site. Spotter Semantics ensures your supply chain metrics are defined once, governed everywhere, and secured by role, region, and customer. When your Northeast distribution center and your West Coast fulfillment team both ask about service level performance, they get the same trusted answer because the logic, synonyms, and business rules are embedded in the agentic semantic layer. Executive reviews become decision meetings, not reconciliation sessions, because everyone is working from one version of supply chain truth.
EXPLORE SPOTTER SEMANTICSYour warehouse management system knows inventory positions, your TMS tracks shipments, your ERP holds supplier lead times, and your EDI feeds carry real-time order updates. Spotter Connectors unify this fragmented landscape so your team can ask questions that span the entire supply chain without waiting for data engineering to build another pipeline. When a planner needs to connect demand forecast shifts with supplier on-time delivery trends and current days of supply, Spotter brings all the context into a single governed answer instead of forcing manual reconciliation across disconnected systems.
EXPLORE SPOTTER CONNECTORSBuilding a dashboard to track carrier performance by lane used to take weeks of analyst time and multiple revision cycles. SpotterViz generates production-ready dashboards tailored to supply chain workflows in minutes, not months. Ask for a view that shows OTIF by carrier and lane, inventory days of supply by node, or supplier lead time variability by category, and SpotterViz delivers visualizations that match the analytical complexity your operations and planning teams need without the backlog, the rework, or the waiting.
EXPLORE SPOTTERVIZSupply chain decisions impact customer commitments, supplier contracts, and financial forecasts. Enterprise AI Trust ensures every AI-driven insight is explainable, auditable, and secure. Row-level security restricts visibility by region or site, column-level controls protect supplier pricing and contract terms, and full audit trails track every question and answer. Bring your own LLM and enforce zero data retention while maintaining complete data lineage.
EXPLORE ENTERPRISE AI TRUSTRESOURCES
FEATURED CASE STUDY
Zencargo replaced Looker with ThoughtSpot, empowering business teams to explore logistics data independently and freeing their data team from routine reporting.
They achieved:
INFRASTRUCTURE
You can layer row-level security on top to ensure regional managers only see their nodes while maintaining consistent metric definitions enterprise-wide. The semantic layer also handles edge cases through Spotter Instructions, where you teach the AI how your organization defines terms in natural language.
For example, you can specify that "on-time" means delivery within the customer's requested window, not the carrier's promised date, and Spotter applies that logic consistently across every query. This eliminates the reconciliation meetings where different teams argue about whose numbers are correct because everyone is working from the same governed source of truth.