OPTARO
INITIALISING AGENT NETWORK
PRE-TRAINED AGENTIC SUPPLY CHAIN PLATFORM · LIVE

Your Agentic Supply Chain : Senses, Analyzes & Executes

A pre-trained agentic platform that executes critical actions in your supply chain to deliver your intended outcomes at speed — deployed in days rather than months.
See the agents →
Operations team reviewing live supply chain data on laptops in a warehouse
Your supply chain, in real time
01 / WHAT WE BUILT

Pre-trained agents, contextualized to supply chain logic.

Pre-trained
Decades of supply chain logic, encoded.
Configured to your data and contextualized to supply chain expertise. No need for system integration effort and protracted build.
Fit-to-standard
Lifts mid-market productivity.
Our control toolkit supports execution — benefits embedded, sustainable, fast.
Self-executing
Decisions written back, automatically.
Recommendations execute into your source systems with human approval. Loops close in seconds.
02 / BELIEF

Not dashboards.
Decisions.

Your Agentic Supply Chain Team at Work

Freeing your (Human) Team to make critical decisions and build key relationships.

COMMAND → ORCHESTRATORS
→ SUPER-AGENTS → UTILITY
SCENARIO · 01 · AN ILLUSTRATION OF OPTARO IN ACTION
Lane DE-07 · transport drift triggers safety stock recalibration
AUTO-PLAYING
COMMAND
ORCHESTRATORS
SUPER AGENTS
UTILITY
CMD
Command Center
PPO
Planning Parameter
Orchestrator
IMO
Inventory Orch.
DSS
Dynamic Safety Stock
SRB
Rebalance
EXP
Expedite
PRS
Production
TLT
Transport LT
PRI
Projected Inv.
MOQ
MOQ
SHO
Shortage
WBA
Writeback
DECISION · PENDING 09:42:18
Reduce safety stock on Lane DE-07 — 14 SKUs.
Transport LT observed at 5 days actual vs 7 days planned — sustained over 14 shipments. Safety Stock recalibrated from 620 to 480 units per SKU. Service level maintained at 98.5%.
Working capital+ $142K Service impactNone SKUs affected14 Target systemSAP ECC
AWAITING HUMAN APPROVAL
SCENARIO PROCESS · 9 STEPS 09:42:00
  1. 01
    Observation.
    09:42:00 · Transport LT
    Lane DE-07 actual at 5 days vs 7 planned — sustained 14 shipments. Lead time has improved.
  2. 02
    Signal down.
    09:42:02 · TLT → DSS
    Transport LT feeds the new lead-time pattern directly into Dynamic Safety Stock. "Plan can recalibrate."
  3. 03
    Recalibrate.
    09:42:05 · Dynamic Safety Stock
    14 SKUs on this lane. Under the shorter LT, safety stock can drop from 620 to 480 units. Service level held at 98.5%. Working capital release: $142K.
  4. 04
    Validate downstream.
    09:42:09 · DSS → Shortage
    Safety Stock pings Shortage with the new buffer. No exposure risk — the lower buffer holds across all DCs.
  5. 05
    Orchestrate.
    09:42:12 · PPO → Command
    Planning Parameter Orchestrator validates the change. Command Center compiles the decision bundle.
  6. 06
    Surface to human.
    09:42:16 · Team chat
    Decision card prepared. Posted to #supply-chain-ops in team chat. Agents pause.
  7. 07
    Approved.
    09:42:34 · Maria R.
    Maria R. clicked Accept & Writeback. Agents resume.
  8. 08
    Writeback.
    09:42:35 · Writeback → SAP
    Writeback Agent persists safety stock parameters to SAP ECC. All 14 SKUs updated.
  9. 09
    Loop closed.
    09:42:36 · Network
    $142K working capital released. Total cycle: 36 seconds. Network returns to watching.
TEAM CHAT · #supply-chain-ops
STANDING BY

Near Autonomous Execution.
Real Value Realized.

VALUE LEDGER · LIVE
→ OUTCOMES, NOT INTENTIONS
Transport Lane Optimization
$1.8M/ year
Catch every drift. Recover every time.
Lanes sensed continuously73
Drifting beyond plan today12
Recalibrations YTD186
Avg working capital / loop$118K
This loop · Lane DE-07 · +$142K
Safety Stock Rebalancing
10–15%released
Working capital, unfrozen.
SKUs under dynamic policy1,240
DCs in scope8
Working capital floating$4.2M
Released YTD$620K
This loop · 14 SKUs · service held at 98.5%
Revenue Growth
+1.4%net uplift
Service held. Demand captured.
Stockouts avoided / month86
On-shelf availability98.7%
Recovered demand / month$268K
Recovered YTD$2.1M
This loop · revenue at risk on DE-07 cleared
03 / AI ARCHITECTURE

Cutting-edge AI, purpose-built for supply chain decisions.

Four engineering choices that differentiate Optaro — each one embedding best AI practices across the stack.

Frontier foundation
Best-in-class models, orchestrated.
Built on the leading frontier LLMs. We add a proprietary reasoning layer and SME-encoded supply chain logic. Not a wrapper — a system.
TokenOps
Smart routing. Lower cost. Better answers.
Our cost-optimisation layer routes each task to the cheapest sufficient model. Frontier reserved for high-value reasoning. Domain SLMs handle the rest.
Supply Chain LLM On the roadmap
The first domain-specific SLM.
A purpose-built Supply Chain LLM trained on agent interactions. Removes public-model dependency. Compounds into our moat.
AI-for-AI
Agents that improve each other.
Self-evaluating loops. Agents critique outputs, retrain prompts, and surface edge cases. The platform gets smarter with every deployment.
Build on best-in-class AI practices for competitive edge today. Proprietary moat tomorrow.
04 / SURFACE

One Command Center.

Skip the dashboard. Pre-built prompts when you know the question — open-ended when you don't. Every answer rendered the way you need to see it.
12 / 12 AGENTS LIVE · ALL HEALTHY SESSION · 09:42
CONVERSATION · OPERATE ASK ANYTHING
YOU 15:38
Show me lanes drifting beyond plan, by region, last 14 days.
OPTARO 15:38 · rendered for you
12 lanes drifting beyond plan over the last 14 days. EMEA leading at 5, then APAC at 4, Americas at 3. Worst single lane: DE-07 at 9d actual vs 7d planned.
Drift counts — your question, your shape:
5
EMEA
4
APAC
3
Americas
0
LATAM
Generated 0.4s ago · source: Transport LT · reshape with: by lane, by SKU, by carrier
Recalibrate top 3 Drill into EMEA Explain DE-07 Set alert
Optaro is drafting…
> Ask anything — or pick a prompt →
05 / SCOPE

Across every phase of the value chain.

Source Plan Make Deliver
I / SOURCE MATERIALS · SUPPLIERS
Warehouse shelves with materials
I.

Source.

Right materials. Right place. Right time.

Modules · in motion
  • MOQ Optimization — right-sized buys against vendor minimums, not blanket cadences.
  • Supplier Lead Time — sense supplier drift before it becomes a stockout risk.
  • Risk-Aware Buy Triggers — act when the signal warrants, defer when it doesn't.
$420K Working capital reclaimed from over-buys · 18% fewer expedited POs
Material management planning
II / PLAN DEMAND · SUPPLY · PARAMETERS
Demand planning dashboard with metrics, forecasts, and trend charts
II.

Plan.

Forecast demand. Balance with supply. Tune the parameters that drive both.

Modules · in motion
  • Dynamic Safety Stock — recalibrates as lead times move, not on a quarterly cycle.
  • Projected Inventory — stockout exposure flagged days ahead, by SKU and DC.
  • Demand Sensing — signal shifts captured before they hit your reports.
  • Parameter Tuning — safety stock, ROP, EOQ kept honest continuously.
10–15% Safety stock released · service held at 98.5% through volatility
Demand management Supply-demand balancing Parameter optimisation
III / MAKE PRODUCTION · INVENTORY
Production line in operation
III.

Make.

Production, inventory, and positioning — as one system.

Modules · in motion
  • Production Sequencing — aligned with live demand, not last week's plan.
  • Inventory Positioning — right SKU, right DC, right day — continuously reshaped.
  • Make-vs-Buy Triggers — flex the line or outsource, with the cost case attached.
+6 pts OEE recovered · $640K WIP and finished-goods buffer freed
Inventory management
IV / DELIVER ORDERS · LOGISTICS
Logistics truck on highway
IV.

Deliver.

Orders flow. Lanes adapt. Service holds.

Modules · in motion
  • Transport Lead Time — every lane sensed continuously, drift caught the moment it persists.
  • Expedite Avoidance — rebalance inbound before paying premium freight.
  • Order Orchestration — promise dates that hold, not promises that hope.
$1.8M Annual lane-optimization recovery · 34 expedites avoided ($210K) / quarter
Order management Logistics
06 / PRODUCT

From sign-up to live recommendations in days.

01
Register
Sign up on optaro.ai. Pick an agent across Source, Plan, Make, Deliver.
02
See value
Upload a spreadsheet / CSV or link your (anonymised) data. Trial the platform — see recommendations and automation in action. Accept, modify, or analyse further.
03
Sign up
Pay for ongoing use post-trial. Stripe-like frictionless payment processing. No procurement bottleneck.
04
Expand
Next agent in hours. Adjacent use cases extend the same value driver.
No demo deck. No POC project. No SI build. Just sign up, see value on your own data, and pay when it proves out.
Sense. Analyze. Execute. ◆ Sense. Analyze. Execute. ◆ Sense. Analyze. Execute. ◆
07 / BELIEF
Supply chain has always had the data. Now it has an agentic team that acts on it — every signal, every loop, every day. That’s why we built Optaro.
MR
Mark Robinson
FOUNDER & CEO
Agentic AI lets the network act on the right answer — within guardrails leaders can genuinely trust. That’s the line between a dashboard and a decision.

See it
on your data.

One risk. One lane. Live.

Experience autonomous supply chain intelligence. Book a personalized demo — see how Optaro agents can transform your operations.
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