SoftServe
Agentic Supply Chain · 20 Agents Live

Locally right.
Globally wrong. Until now.

One orchestration layer that turns 200+ autonomous agents into a coordinated supply chain — continuous strategy, weighted trade-offs, and a full audit trail. Built on Microsoft Azure, deployed in weeks, not quarters.

See the Command CenterSee the Hard Math
01
Decide.

Forecasts, negotiations, pricing — agents reason on live data.

02
Act.

Reorders, reroutes, schedules — automated within policy guardrails.

03
Learn.

Every outcome tightens the next decision across the network.

19
Autonomous Agents
Production-ready
6
Supply Chain Domains
End-to-end
−30%
Avg. Cost Reduction
Across pilots
24/7
Self-Optimizing
Always-on
The problem

Locally right. Globally wrong.

Every function hits its KPI. The company misses its target. Monthly S&OP and Excel war-rooms can't keep up with real-time volatility, so coordination breaks at the handoffs — and the cost shows up two quarters later.

PROCUREMENT
Procurement wins unit cost
BUT
Line stops · raw materials misaligned with the build plan
MANUFACTURING
Production maxes OEE
BUT
Stockout · long runs miss the demand spike
DEMAND
Marketing drives demand
BUT
Markdown · units shipped right before the price cut
The root cause isn't bad agents. It's the missing layer above them.
Agentic Orchestration Platform

One orchestrator. Every node, intelligent.

Traditional supply chains rely on siloed systems, manual handoffs, and reactive decisions. Our network of autonomous agents learns continuously and collaborates across systems, partners, and stakeholders in real time.

01
Cross-Domain Coordination
Agents handshake across all 6 supply chain domains — closing the loop on every workflow without human relay.
02
Autonomous Execution
Automation agents act on pre-approved policy. Analytics agents surface decision support in real time.
03
Continuous Learning
Every outcome tightens forecasts, negotiations, and routing — the network gets sharper every day.
04
Microsoft AI Platform
Azure OpenAI, M365 Agents SDK, Semantic Kernel, Microsoft Fabric — enterprise-grade, governed by design.
Live EnvironmentTry Now
supply-chain-orchestratorLIVE
Demand Forecaster— 12-week outlook computedDone
Supplier Negotiation— evaluating 7 bidsDone
Inventory Mgmt Agent— reorder signal sentDone
Production Scheduler— re-sequencing 3 linesRunning
Route Optimizer— rerouting around disruptionRunning
Pricing Intelligence— market signal detectedQueued
R&D
3 agents
Procurement
3 agents
Manufacturing
3 agents
Warehousing
4 agents
Distribution
3 agents
Demand & Orders
3 agents
The hard math

Applied economics. Not a dashboard.

Under the hood: multi-factor optimization, a Pareto frontier search, a weighted trade-off matrix tied to strategy, and game theory that converts independent agents into a cooperative network.

Pull one KPI · watch the others move
Cost60
Cash60
Service70
OEE65
ESG60

Every local win is a global trade-off. Spreadsheets pretend it isn't.

Pareto frontier
Cost ↔ Service · the orchestrator only picks points on the curve
Cost →↑ Service

Never picks a dominated point. Picks the best point on the frontier, under your strategy.

Trade-off matrix · weighted by strategy

Strategy is a vector of weights. Every agent decision is scored against it — and the whole network re-balances when you move the dial.

Trade-off Compass
Global KPI balance
CurrentTarget

Procurement buys less raw · manufacturing runs shorter shifts · marketing throttles promos.

Without Orchestrator · Prisoner's Dilemma
Procurement
↑ Unit cost −8%
↓ Stockout risk +14%
Manufacturing
↑ OEE 71 → 78
↓ Agility lost on NPI
Warehouse
↑ Pick rate +6%
↓ Mis-allocated buffer
Distribution
↑ Load utilisation 92%
↓ Late to top-3 customer
Demand
↑ Campaign +12% lift
↓ Markdown +$1.1M
Finance
↑ WC −$2M
↓ Service breached
Network outcome: −$3.8M and 4 broken SLAs
With Orchestrator · cooperative game
Procurement
↑ slightly less local win
↑ network goal protected
Manufacturing
↑ slightly less local win
↑ network goal protected
Warehouse
↑ slightly less local win
↑ network goal protected
Distribution
↑ slightly less local win
↑ network goal protected
Demand
↑ slightly less local win
↑ network goal protected
Finance
↑ slightly less local win
↑ network goal protected
Network outcome: +$5.2M and 0 broken SLAs
20 mgrs · 4 hrs
Traditional war-room
weekly
S&OP cadence
millions / sec
Orchestrator scenarios
Human-in-the-loop

Math finds the optimum. Humans own the strategy and the irreversible calls — the Orchestrator routes hard trade-offs to people, with the audit trail attached.

See HITL in the Command Center
The shift

From clicking POs to running the dial.

"The agents do everything without you, and you look at the Orchestrator." — Oleksandr

Today
  • Monthly S&OP cycle in Excel + meetings
  • Managers hand-build POs and requisitions
  • Coordination via war-rooms and email
  • Trade-offs decided by the loudest voice
  • No audit trail for cross-functional calls
With the Orchestrator
  • Continuous orchestration · S&OP as a live dial
  • Autonomous agents execute within policy
  • Management by exception · humans only on hard calls
  • Trade-offs scored against company strategy
  • Every ruling has an audit ID and confidence score
19 AI Agents

Agent Explorer

Browse the suite of 19 specialized autonomous and analytical agents across the supply chain.

Autonomous
Analytics
01

R&D

IP Landscape ScoutTechnical Spec AnalyzerNew Vendor Scout
02

Procurement

Supplier NegotiationSupply Risk MonitorContract Compliance
03

Manufacturing

Production SchedulerQuality InspectorPredictive Maintenance
04

Warehousing

Inventory ManagementSlotting OptimizerReceiving InspectorReturns Processor
05

Distribution

Route OptimizerCarrier SelectorCustoms Broker
06

Demand & Orders

Demand ForecasterOrder OrchestratorPricing Intelligence
System Architecture

Three-Layer Architecture

From business orchestration down to data fabric — every layer works in concert to enable autonomous supply chain intelligence.

LAYER 01Business Architecture
Supply Chain Orchestrator
Cross-functional coordination layer translating strategy into agent behavior
Domain Agent Federation
19 specialised agents organised by R&D, Procurement, Manufacturing, Warehousing, Distribution, Demand
KPI Arbitration
Resolves trade-offs between service, cost, working capital, OEE, agility, ESG
Human-in-the-Loop
Approval, override, and escalation across all autonomous workflows
LAYER 02AI Execution
Azure AI Foundry
Central hub for deploying and managing all AI agent workloads
Microsoft 365 Agents SDK
Framework for building multi-agent orchestration pipelines
Azure OpenAI GPT-4o
Foundation model powering reasoning, generation and planning
Semantic Kernel
Planner and memory management for complex multi-step tasks
AutoGen / LangGraph
Multi-agent collaboration and conversation management
Azure AI Search
RAG-powered retrieval for supplier data, contracts and specs
LAYER 03Data & Technology
SAP S/4HANA
ERP backbone for procurement, manufacturing and logistics
Azure Data Factory
ETL pipeline connecting ERP, WMS, TMS and CRM systems
Microsoft Fabric
Unified analytics platform with OneLake data mesh
Power Platform
Low-code automation, approval workflows and dashboards
Azure Service Bus
Reliable async messaging between agents and enterprise systems
Cosmos DB / SQL
Operational store for agent state, decisions and audit logs
Technology Platform

Microsoft AI Platform Stack

The full Microsoft AI platform powering SoftServe's supply chain agents — from foundation models to enterprise connectors and governance.

AI Agents & Orchestration

  • Microsoft 365 Agents SDK

    Build, deploy and manage multi-agent workflows with enterprise-grade security.

  • Copilot Studio

    Low-code agent builder with native M365 and Power Platform integration.

  • Semantic Kernel

    Open-source SDK for AI planning, memory, and tool orchestration.

  • Azure AI Foundry

    Hub for deploying and monitoring all AI agent workloads at enterprise scale.

Foundation Models

  • Azure OpenAI GPT-4o

    Primary reasoning and generation model for complex supply chain decisions.

  • GPT-4o mini

    Fast, cost-efficient model for high-volume classification and routing tasks.

  • Phi-4 Small Language Model

    On-device SLM for latency-sensitive edge operations in warehouses.

  • Azure AI Search + RAG

    Retrieval-augmented generation over contracts, specs and supplier data.

Data & Analytics

  • Microsoft Fabric

    Unified analytics platform with OneLake data mesh for all supply chain data.

  • Azure Synapse Analytics

    Serverless analytics for large-scale demand and operations data processing.

  • Power BI Embedded

    Real-time dashboards and KPI tracking embedded in agent workflows.

  • Azure Data Factory

    ETL and data integration pipelines connecting ERP, WMS and TMS systems.

Power AutomateWorkflow Automation
Azure Service BusAsync Messaging
Azure MonitorObservability & Alerts
Microsoft PurviewGovernance & Compliance
Enterprise Data Connectors
SAP S/4HANA
Dynamics 365
Coupa
Salesforce
ServiceNow
Custom APIs
Oracle ERP
Workday
Business Value

What this looks like on the P&L

Indicative ranges from comparable agentic supply chain deployments. Your numbers depend on baseline maturity, data quality and which domain you start in.

20–35%
Lower stock-outs
Demand agents catch shifts days earlier and rebalance inventory before shelves go empty.
15–25%
Working capital freed
Smarter reorder points and supplier terms release cash tied up in safety stock.
10–18%
Logistics cost down
Dynamic routing, load consolidation and carrier arbitration on every shipment.
2–5×
Faster decisions
Plans that took planners days now resolve in minutes — with full explainability.
8 weeks
To first agent live
Pilot pattern: one domain, one workflow, measurable KPI delta before scale-out.
100%
Audit coverage
Every autonomous decision logged with inputs, model version and human approver.
How We Engage

From hypothesis to agent in production

A proven four-phase delivery pattern from SoftServe's AI & Data practice — built around your existing Microsoft estate.

Discover
Weeks 1–2
Domain & value mapping
  • KPI baseline & data audit
  • Agent candidate shortlist
  • ROI hypothesis & guardrails
Architect
Weeks 3–5
Foundation on Azure
  • Azure AI Foundry setup
  • Data fabric + ERP adapters
  • Security, identity, audit
Pilot
Weeks 6–8
First agent live
  • Single-domain agent in prod
  • Human-in-the-loop approval
  • Measured KPI delta
Scale
Quarter 2+
Federation & MLOps
  • Multi-domain orchestration
  • Agent SRE & observability
  • Continuous evaluation
Services we bring
Agentic strategy & opportunity assessment
Reference architecture on Azure AI Foundry
Data engineering & enterprise integration
Agent design, prompt & evaluation engineering
Responsible AI, governance & audit framework
Managed AgentOps and 24/7 SRE
Let's build it

Ready to orchestrate
your supply chain?

Talk to our AI specialists about building your agentic platform on Microsoft Azure — pilots typically launch in 8 weeks.

Talk to Us