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Logistics, Warehousing & Supply Chain
You Have The Tools.
They Just Don't Work Together.
Most supply chain operations aren't failing because of the wrong technology. They're failing because the right technology was bought in pieces and never properly connected. Contivos fixes the integration, embeds the AI, and runs the result.
The common reality
WMS, TMS, ERP, and demand planning tools that don't talk to each other
Data re-entered manually across 3–5 systems per transaction
The AI pilot trap
A demand forecasting model that runs in a spreadsheet, disconnected from operations
Promising results in the pilot. No path to production.
The visibility gap
Freight spend invisible until the invoice arrives. Inventory counts that lag by days.
Decisions made on last week's data in a real-time world
The Contivos difference
We don't sell you another tool. We make your existing stack intelligent.
Integration + AI embedding + managed operations, end to end
40–70%
Reduction in manual workflow steps across integrated operations
Real-time
operational visibility replacing end-of-day batch reporting
Days → Hours
operational visibility replacing end-of-day batch reporting
No rip-and-replace
intelligence layered across your existing WMS, TMS, and ERP
The Real Problem
Most Supply Chain AI Projects Fail Before They Start.
The technology isn't the bottleneck anymore. The bottleneck is the gap between what the tools promise in isolation and what they deliver when they have to operate together, inside real enterprise environments with legacy systems, fragmented data, and operations teams who weren't part of the AI pilot.
Companies spend 12–18 months selecting and implementing a best-of-breed WMS. Then another year on a demand planning platform. Then a TMS. Each one works. None of them is connected. The AI opportunity, real-time inventory optimization, predictive disruption response, and automated carrier selection requires all three to speak the same language.
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Tool proliferation without orchestration: 5–8 operational platforms with no unified data model
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AI pilots that never scale: Models built on clean sample data that break on messy production data
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Integration debt accumulation: Point-to-point connections that break every time a system is updated
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Tribal knowledge in manual processes: Experienced staff compensating for system gaps with spreadsheets and judgment calls
What Contivos actually solves
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We build the integration foundation first, a unified data layer across your existing platforms, before any AI is deployed
We design AI agents that operate inside your actual data environment, not a sanitized pilot dataset
We replace point-to-point integrations with an event-driven architecture that is resilient to system changes
We document and encode institutional knowledge into workflows so it survives staff turnover
We run managed operations; your team doesn't need to become AI engineers to benefit from what we build
What We Build
Core Capabilities for Intelligent Supply Chains
Four interconnected capabilities, each valuable individually, transformative together.
01 — Systems Integration
Unified operational data layer
The prerequisite for everything else. We connect your WMS, TMS, ERP, demand planning, and carrier/supplier portals into a coherent, real-time data fabric. Events in one system trigger actions across others. No more manual reconciliation between platforms.
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WMS / TMS / ERP / demand planning integration
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Real-time inventory and order status synchronization
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Carrier and supplier portal connectivity
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Event-driven architecture, resilient to system updates
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Single source of truth for operational data
02 — Agentic AI
AI agents built for operational decisions
Purpose-built AI agents that operate continuously across your supply chain, not dashboards that tell you what happened, but agents that act on what's happening. Each agent has defined decision rights, escalation paths, and full auditability.
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Demand forecasting agents with real-time signal ingestion
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Inventory reorder and allocation agents
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Carrier selection and freight optimization agents
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Exception detection and escalation agents
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Supplier performance monitoring agents
03 — Data & Intelligence
Operational intelligence platform
Real-time visibility across the supply chain, from inbound raw materials to last-mile delivery. We build the data platform, the analytics layer, and the executive dashboards that convert operational data into decisions, not reports.
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Live supply chain control tower
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Predictive disruption and delay modeling
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Cost-to-serve and margin analytics
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Inventory optimization dashboards
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Carrier and 3PL performance scoring
04 — Managed Operations
We build it, run it, and improve it
Deploying an AI-integrated supply chain system is the start, not the finish. We provide ongoing managed operations, monitoring agent performance, handling exceptions, optimizing models as your business changes, and ensuring the system grows with you.
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24/7 operational monitoring via iSOC and iNOC
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Continuous model performance and drift monitoring
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Regular optimization cycles as business conditions change
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Human-in-the-loop escalation for high-stakes decisions
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Lifecycle management and platform evolution
How It Works
Intelligence Layered Across What You Already Have
AI Agents
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Demand Forecast
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Inventory Allocation
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Carrier Selection
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Exception Mgmt
Intelligence
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Control Tower
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Predictive Analytics
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Cost-to-Serve
Integration
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Unified Data Layer
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Event Bus
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APIs
Your Systems
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WMS
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TMS
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ERP
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Demand Planning
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Carrier Portals
Your existing stack stays in place
We don't ask you to rip out and replace your WMS or ERP. We build the integration and intelligence layer above it, connecting your systems, unifying the data, and deploying agents that operate across all of them.
The integration layer is the foundation
Before any AI is deployed, we build a unified data model and event-driven integration layer. This is what most "AI implementations" skip, and why they fail. Every agent we deploy operates on real, synchronized, production data.
Agents operate with defined rules and escalation paths
Each AI agent has clear decision boundaries, audit trails, and human-in-the-loop triggers. Your operations team remains in control. The agents handle volume and speed; your people handle judgment and exceptions.
Managed operations from day one
We run the system we build. 24/7 monitoring, continuous model optimization, and lifecycle management, so your team benefits from AI without needing to become AI engineers.
Use Cases
Where This Delivers the Most Immediate Impact
Select the scenario most relevant to your operation.
Demand forecasting accuracy determines almost every downstream cost in a supply chain. When forecasts are wrong, you either carry excess inventory or face stockouts, both expensive. Most demand planning tools produce good forecasts in isolation. The problem is those forecasts aren't connected to purchasing, logistics, or finance in real time.
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Unified demand signal: Ingests POS data, open orders, promotions, and external signals in real time
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Dynamic safety stock: Inventory targets that adjust continuously to demand volatility, not static reorder points
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Automated replenishment triggers: Purchase orders and transfer orders generated by agents within defined parameters
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Allocation intelligence: Multi-DC inventory allocation optimized for service level and cost simultaneously
15–25%
reduction in carrying costs through optimized safety stock and replenishment
20–35%
improvement in forecast accuracy with real-time signal integration
Same-day
replenishment decisions replacing weekly planning cycles
How We Engage
From Fragmented Systems to Intelligent Operations
A structured engagement model, not open-ended consulting. You know what you're getting and when.
Phase 1 — Identify & Assess
Map your operational and integration landscape
We audit your current system architecture, data flows, and manual processes to identify the highest-leverage integration and AI opportunities. You get a clear picture of where the gaps are and a prioritized roadmap.
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Systems and integration audit
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Data quality and availability assessment
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Manual workflow mapping
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AI opportunity prioritization
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Business case development
Phase 2 — Integrate & Build
Build the integration foundation and deploy first agents
We build the unified data layer, connect your systems, and deploy the first AI agents against your highest-priority use cases. Your existing operations continue uninterrupted throughout.
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Unified data model and integration layer
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First agent deployments (typically 2–3 use cases)
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Control tower and visibility platform
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Team training and change management
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Governance and audit framework
Phase 3 — Operate & Expand
Managed operations and continuous expansion
We run the system we built, 24/7 monitoring, model optimization, and lifecycle management. As your business evolves, we expand agent coverage and capabilities. You scale operations without scaling headcount linearly.
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24/7 managed operations (iSOC / iNOC)
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Continuous model performance optimization
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Expansion to additional use cases
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Quarterly business reviews and roadmap updates
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Hybrid AI + human operations model
Why Contivos
We're not a Software Vendor.
We're an Operational Partner.
A structured engagement model, not open-ended consulting. You know what you're getting and when.
Integration expertise that most AI vendors don't have
Most AI companies can build a model. Very few can connect a WMS to a TMS to an ERP and ensure the data flowing between them is clean, timely, and trustworthy. That integration capability is what makes AI actually work in production. It's a core competency at Contivos, not an afterthought.
We build it and run it, one accountable partner
Most AI companies can build a model. Very few can connect a WMS to a TMS to an ERP and ensure the data flowing between them is clean, timely, and trustworthy. That integration capability is what makes AI actually work in production. It's a core competency at Contivos, not an afterthought.
Proven in complex, regulated, data-intensive environments
Our team has delivered at Goldman Sachs, HSBC, Caterpillar, and Finning, environments where data accuracy, operational resilience, and auditability are non-negotiable. That standard is what we bring to every engagement.
Right-sized for mid-market. Capable at enterprise scale.
We work with organizations large enough to have complex operational challenges, but nimble enough to move at pace. Not a Big Four engagement that takes two years to produce a recommendation. Not a startup tool vendor with no operational depth.
Contivos at a Glance
15+
Years of enterprise delivery experience
100+
Enterprise clients across North America
30+
Technology and platform partnerships
160+
Countries monitored through iSOC and iNOC
Team experience includes engagements at Goldman Sachs, HSBC, Caterpillar, Finning, and Vancity, delivered directly or in partnership with global systems integrators under confidentiality agreements.