Sheid.in

CTO @ Unilog · AI Orchestration · ROI Focus

IlyaSheidin

As CTO of Unilog, I lead the technology behind Logivice™ — connecting people, platforms and AI agents into autonomous supply-chain operations for mission-critical industries.

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Converting turbulence
into growth.

How we orchestrate AI at Unilog

01 / 03

One Operating System

Logivice™ connects warehouses, carriers, customers and ERPs into a single composable supply-chain operating system.

02 / 03

AI Inside Real Operations

Our AI agents work inside live operations — orders, shipments, exceptions — acting through the same tools our people use.

03 / 03

Measurable ROI

Every AI initiative must improve efficiency, reduce costs, increase visibility or generate revenue. No AI for the sake of AI.

AI use cases

Where AI runs
at Unilog

Real use cases in production today — and the ones we are building next. Every one is scoped around a measurable return.

Live

AI Operations Assistant

An assistant wired into live operations over MCP — it reads orders, shipments, inventory and exceptions, and acts through the same tools our people use.

Live

Exception Management

Operational exceptions surfaced, classified and routed to the right owner automatically — before customers feel them.

Live

Cross-System Orchestration

Orders, inventory and events flow between platform generations, carriers and customer ERPs without manual rekeying.

Live

Control Tower Visibility

One real-time picture from manufacturer to consumer through Ucontrol™ — the data foundation every agent depends on.

In development

Predictive Operations

Decision intelligence that flags delay and inventory risk before it materializes. In active development.

In development

Autonomous Workflows

Agent-run replenishment and customer communication — expanding autonomy as each step earns trust.

Inside Logivice™

Systems running
real operations

01

Supply-chain operations platform

Multi-tenant logistics platform running live warehouse, order and shipment operations — architecture, AI features and integrations across two platform generations.

ProductionMulti-tenant24/7 operations
02

AI operations assistant over MCP

Production MCP server exposing real supply-chain operations — orders, shipments, inventory, exceptions, tickets — to AI agents that act, not just answer.

AI agentsMCPLive operations
03

Cross-generation data orchestration

Bidirectional synchronization between platform generations during live migration — webhooks, queues and conflict-safe backsync without stopping the business.

Systems integrationZero downtimeEvent-driven

How we think about AI

We start with business outcomes.

We simplify supply-chain complexity.

We connect systems instead of replacing them.

We design before we automate.

We measure success by ROI.

We build AI people actually trust.

How we adopt AI

From audit to
autonomous operation

01 / 06

Discovery

Map your systems, teams and cost structure. Find where value leaks.

02 / 06

Strategy

Rank AI opportunities by return, effort and operational risk.

03 / 06

Architecture

Design the orchestration layer around the systems you already run.

04 / 06

Implementation

Ship production agents and workflows, integrated end to end.

05 / 06

Optimization

Measure results against baseline. Tune for throughput and cost.

06 / 06

Continuous Improvement

Expand what works. Retire what does not. Compound the ROI.

Final question

Ready to see AI run a supply chain?

Let's talk about orchestrating AI in mission-critical operations — or see how we do it at Unilog.

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