Prepared exclusively for Culina Group · May 2025

AI that ships
outcomes,
not experiments.

Shipsy AgentFleet is purpose-built logistics AI — not a horizontal platform you stitch together yourself. Pre-trained on your domain, deployed department by department, delivering measurable results from week one.

£2.24B
Culina Group Revenue
20,000+
Employees across BUs
12
Business Units, 5 Clusters
Day 1
Value, not months later
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One of the UK's most
complex logistics operations.

Culina Group spans ambient, chilled, and specialist logistics across five distinct operating clusters — each with its own systems, data models, and operational cadence. AI here can't be one-size-fits-all.

Ambient & Chilled
Culina Logistics · MF Logistic
Specialist Ambient
CML · Fowler Welch · Warrens
Fresh & Chilled
Chills Group · Perisher Logistics
Healthcare
Movianto UK
Shared Services
IT · Finance · HR · Procurement

Functional Imperatives

  • Reduce cost-to-serve across all clusters simultaneously
  • Improve service quality and customer experience
  • Reduce exceptions and manual interventions
  • Scale operations without proportional headcount growth
  • Enhance carrier and driver performance visibility

Technical Imperatives

  • Work within existing BU stacks — no rip-and-replace
  • Integrate across Paragon, SAP TM, Oracle TM, Blue Yonder, Manhattan
  • Enable cross-BU visibility with a unified intelligence layer
  • Enterprise-grade security, data residency, and audit trails
  • Governance-first AI — not opaque, not experimental

Outcomes. Velocity.
Best-in-class.

Outcomes
Defined KPIs per department — not vague AI productivity claims. Every deployment targets measurable results tied to your P&L.
Velocity
From diagnosis to live agent in weeks, not quarters. Pre-built logistics intelligence means no blank-page training time.
Best-in-Class
The only agentic AI platform built exclusively for logistics — with deep domain knowledge baked in, not bolted on.
DIY Horizontal Platform

Build it yourself

Generic AI tooling that requires your team to define every workflow, train every model, and stitch every integration — with no logistics knowledge built in.

  • Months to first meaningful output
  • No domain expertise — you write every SOP
  • Fragile integrations with TMS / WMS / Telematics
  • No benchmark KPIs — you define what success looks like
  • Your team maintains model quality over time
  • High internal resource cost and delivery risk
Shipsy AgentFleet

Pre-built. Pre-trained. Pre-done.

Purpose-built logistics agents that arrive with domain knowledge, pre-integrated connectors, and proven KPIs — so you deploy to outcomes, not experiments.

  • Live in weeks — diagnostic → blueprint → deploy
  • 10+ years of logistics intelligence built in
  • Native connectors for Paragon, SAP, Oracle, Blue Yonder
  • Validated KPIs from 300+ deployments globally
  • Continuous agent performance monitoring included
  • Fixed-cost FDE model — predictable investment

A department-first
AI organisation.

AgentFleet mirrors your organisational structure. Every department gets its own team of agents — a supervisor that manages the workflow, and task agents that execute. Humans stay in control through explicit approval gates and real-time dashboards.

Organisation

AgentFleet — Culina Group

One unified AI platform spanning all clusters and departments. Governed by a shared policy layer, with full audit trail and HITL controls.

Customer Transport
Driver Management
Carrier Management
Settlements & Finance
Customer Experience
Teams

Department AI Teams

Each department has a dedicated team of agents scoped to its workflows, data access, and KPIs.

CS Team
Customer service workflows, query resolution, escalation routing
CT Team
Transport planning, exception handling, delivery monitoring
Ops Team
Carrier performance, driver compliance, fleet utilisation
Finance Team
Invoice processing, dispute resolution, settlement reconciliation
Supervisor Agents

Orchestration Layer

Supervisor agents manage workflows end-to-end — delegating to task agents, monitoring outputs, and escalating to humans when thresholds are breached.

ATLAS — Dispatch Supervisor
ASTRA — Transport Supervisor
NEXA — Carrier Supervisor
VERA — Settlements Supervisor
CLARA — CX Supervisor
Task Agents

Execution Layer

Specialised agents that perform discrete tasks — each governed by an explicit policy, with defined permissible actions and approval requirements.

ETA prediction & proactive re-routing
Driver hours compliance monitoring
Carrier invoice validation
POD capture & exception flagging
Query classification & auto-resolution
Freight audit & discrepancy detection
Dynamic load optimisation triggers
SLA breach early warning
Carrier performance scoring

Every department.
Measured outcomes.

🚚
Customer Transport
65%
faster exception resolution
Proactive ETA management
SLA breach prevention
Automated re-routing on disruption
Multi-stop optimisation
👨‍✈️
Driver Management
20%
driver productivity uplift
Hours compliance monitoring
Performance coaching alerts
Route adherence tracking
Mobile-first driver comms
🤝
Carrier Management
10–12%
ops team productivity uplift
Carrier scorecard automation
Tender & rate management
Freight audit automation
3PL performance monitoring
💷
Settlements & Finance
50%
workload reduction in billing
Invoice matching & validation
Dispute auto-resolution
Credit note processing
Revenue leakage detection
💬
Customer Experience
30%
fewer inbound queries
Proactive delivery notifications
AI-powered query triage
Self-service escalation flow
CSAT improvement tracking

Go deep on one.
Then scale.

We don't deploy across every department on day one. We pick the highest-value workflow, build it end-to-end with full policy governance and integration, prove the ROI — then scale iteratively across your BUs and departments.

01
Discovery
Map all existing workflows, data sources, and pain points across target departments
02
Opportunity Assessment
Quantify ROI potential and prioritise the highest-value use case to start
03
Solution Design
Define agent architecture, data flows, integration points, and governance policies
04
Integration & Data
Connect to your BU stacks via MCP connectors — Paragon, SAP, Oracle, Blue Yonder
05
Agent Build & Test
Build agents, configure HITL policies, red-team for robustness and bias
06
Controlled Rollout
Deploy to a single cluster first, track KPIs, iterate within sprint cycles
07
Scale & Expand
Roll out proven agents across all BUs, adding new departments iteratively

Design Philosophy

"We start narrow and deep — one workflow, fully automated, fully governed. Then we expand from a position of proven value."

  • Every agent decision is governed by explicit policies, not opaque model behaviour
  • Humans are in the loop at every critical decision point via HITL gates
  • Each agent is evaluated for factual accuracy, action correctness, and red-team robustness before go-live
  • ROI is measured from week one — not after a 6-month transformation programme
  • New departments are onboarded using the same proven blueprint — not rebuilt from scratch

Proven at scale.
In logistics.

Heineken
Global Logistics Operations — AI Agent Deployment
53
AI agents deployed across logistics operations
121 hrs
manual work automated per week
572 hrs
of agent task execution per week
Multi-market deployment across Heineken's global supply chain, with agents handling exception management, carrier coordination, and real-time visibility workflows.
Brinks — $5.3B Global Logistics
AI-Driven Operations Transformation
30–40%+
manpower savings across operations
60%→80%+
fleet utilisation improvement
145→1
platform consolidation across 52 countries, 600K+ ATMs
Brinks consolidated 145 legacy systems into a single AI-enabled platform, deploying 5 specialised agents across their secured logistics network spanning 52 countries.
Walmart / Flipkart
Hyperscale Logistics AI — Peak Operations
50–53M
daily active visitors managed during peak
800+
stores and fulfilment centres connected
5M+
daily orders processed through AI agents
Shipsy's AI agents powered hyperscale operations during Flipkart's Big Billion Day, managing real-time routing, exception handling, and carrier coordination at unprecedented scale.

System of Action
over System of Record.

Shipsy AI doesn't replace your existing systems. It sits as a System of Action above your Systems of Record — connecting to every BU's stack, normalising data, and executing decisions in real time. Two paths, one outcome.

Path A

Shipsy Core + AI

For BUs adopting Shipsy TMS/WMS as the system of record. Native integration — no connectors, no latency, no data mapping overhead.

  • Shipsy TMS as the operational backbone
  • Native Shipsy WMS integration
  • AgentFleet natively connected to all data
  • Zero connector overhead — direct data access
  • Fastest path to go-live
Path B

Your Stack + Shipsy AI

For BUs retaining existing systems — Paragon, SAP TM, Oracle TM, Blue Yonder, Manhattan. No migration required.

  • MCP connectors per BU's existing stack
  • Knowledge Graph + Context Layer for entity normalisation
  • Cross-BU data unified without touching source systems
  • Paragon · SAP TM · Oracle TM · Blue Yonder · Manhattan · Microlise · Dynamics
  • No migration, no disruption — AI layer only
System of Action
Agent Orchestrator (LangGraph)
Observability Engine
Memory & RAG
Knowledge Graph
ATLAS Dashboard
HITL Controls
Comms Channels
Connector Layer
API / MCP Connectors
Event Streams / Kafka
Carrier Track & Trace
IoT & Telematics (Cold Chain)
Document Ingestion
System of Record
ERP (SAP / Oracle / Dynamics)
TMS (Paragon / Blue Yonder / Descartes)
WMS (Manhattan / Blue Yonder / SAP EWM)
Telematics (Microlise / Webfleet)
Carrier & CRM (Oracle CX / Salesforce)

Built for logistics.
Not adapted for it.

Shipsy's AI platform is grounded in a logistics-specific data lake, knowledge graph, and integration library built over a decade — so every agent arrives with domain context that generic AI platforms take years to develop.

🔌
ERP
SAP · Oracle · Microsoft Dynamics
🗺️
TMS
Paragon · Blue Yonder · Descartes · Bespoke
🏭
WMS
Manhattan · Blue Yonder · SAP EWM
📡
Telematics
Microlise · Webfleet · Teletrac Navman
🤝
Carrier & CRM
Oracle CX · Salesforce · 3PL APIs

How Shipsy AI Connects to Culina's BU Stacks

Culina's BU SORs
  • Paragon (TMS)
  • SAP TM
  • Oracle TM
  • Blue Yonder
  • Manhattan (WMS)
  • Microlise
  • Dynamics 365
Connectors
  • API / MCP per BU
  • Event Streams / Kafka
  • Carrier Track & Trace
  • IoT / Telematics
  • Document Ingestion
Intelligence Layer
  • Agent Orchestrator
  • Observability Engine
  • Memory / RAG
  • Knowledge Graph
  • Context Layer
Outputs
  • ATLAS Dashboard
  • Communication Channels
  • HITL Approval Flows
  • Mobile & Desktop
Governance
  • Guardrails & Policies
  • Data Residency
  • Access Control
  • Audit Trails
  • Hallucination Control

Governance-first. Always.

🛡️
Guardrails & HITL
🔒
Data Residency & Privacy
👤
Access Control & RBAC
📋
Full Audit Trails
📊
Monitoring & Alerts
🧠
RAG / Hallucination Control

From conversation
to live agent — in weeks.

01

2–3 Day Workshop

Joint workshop with Culina's operations, IT, and finance teams to map the highest-value workflows, identify integration touchpoints, and define success metrics per department.

02

Blueprint & Business Case

Shipsy delivers a detailed agent architecture blueprint, integration design, and a CFO-ready business case with projected ROI, payback period, and risk-adjusted scenarios.

03

Deploy & Scale

Start with one department, one workflow, fully governed. Prove value. Then scale iteratively across Culina's 12 BUs using the same proven blueprint — no reinvention, just expansion.

Ready to start?

Let's book the workshop and begin building the blueprint for Culina's AI transformation.