Distribute with context.
Not by trial and error.

Logistics Intelligence · Human Decision

IRIS Logistic Intelligence orchestrates stock, local demand, and transfer scenarios across branches, hubs, and warehouses. It resolves network imbalances before any order is placed blindly.

01The network problem

Stock is local.
The problem is network-wide.

One branch runs out of stock while another holds the same item in excess. A shuttle moves goods without fixing the structural imbalance, and a new purchase goes out even though the material already sits a few dozen kilometers away.

The question is not “What is missing from my warehouse?” but “How can we meet demand with the least movement and the least tied-up capital?”

01 · FRAGMENTED VISIBILITY

Each branch sees its own warehouse. Management has to orchestrate the whole network.

02 · LOCAL DEMAND

The same product can behave in opposite ways depending on the local market and the season.

03 · TRANSFER FRICTION

Moving goods costs money: not every theoretical transfer makes economic or operational sense.

04 · CAPITAL VS SERVICE

Higher inventory protects short-term service, but ties up capital and masks inefficiencies.

02Logistics Twin & Decision Flow

From fragmentation
to network context.

The Logistics Twin is not a passive copy of your ERP: it is a simulation environment that correlates availability, local demand, and connecting routes before a single pallet physically moves.

INSPECTED NODE

Regional shuttle corridorW02 → B02

Shuttle scheduled for Tuesday morning: 78% volume utilization.

IRIS · LOGISTIC DECISION MODELSHUTTLES & OPERATING COSTS

DYNAMIC NETWORK MAP · LENS: TRANSFER SCENARIOSHow can transfers be consolidated without empty runs?

TRANSFER SCENARIOS

Which move solves the problem with the least friction?

Simulates shuttle routes, vehicle load factor, travel times, and handling costs. IRIS proposes a transfer only when the operational benefit outweighs the direct cost of transport.

Vehicle load factor · Modeled shuttle cost · Service priorityFull traceability · API-first

03Closed-loop decision cycle

Simulate before you move.
No blind actions.

Conventional management reacts to a stockout with an emergency purchase or transfer. IRIS builds a transparent causal chain: it observes, adds context from sales data, simulates the impact on the network, and asks for approval before confirming.

Visible & usable stock

Actual inventory net of commitments already made by e-commerce channels and stores.

Local demand & timing

Actual requirements weighted by active construction sites, transport lead times, and seasonality at each location.

Rebalancing simulation

Checks whether a nearby branch or regional warehouse holds surplus stock before anything is purchased.

Operational validation

Assessment of shuttle costs and load factor, with explicit manager approval before anything is sent to the WMS.

OBSERVED ≠ CONTEXTUALIZED ≠ SIMULATED ≠ APPROVEDNo order is generated without oversight

04Operational capabilities

Four strategic levers.
For distributed logistics.

Not a black box that imposes new procedures: four modular capabilities that plug into your logistics organization’s existing processes.

Distributed stock

Availability, commitments, excess, and exposure read across the entire network, not warehouse by warehouse.

Stock · Commitments · Actual turnover

Branch-to-branch rebalancing

Finds where existing stock can meet demand elsewhere, before a new purchase or a rush transfer.

Origin · Destination · Priority

Transfers and shuttles

Urgency, consolidation, route constraints, and the cost of each move in a single decision context, before shipping.

Consolidation · Route · Load

Local demand

History, local trends, seasonality, and operational commitments read together, for branch-specific stock decisions.

Branch · Territory · Season

Stockout riskSustainable stock corridorTied-up capital / obsolescence risk

Minimum safety stock (floor)Target balance zoneMaximum inventory threshold (ceiling)

Conceptual view of the stock decision corridor. The boundaries are not static numbers: they are continuously recalculated for each item and branch, taking into account delivery lead times, demand variability, and warehouse capacity.

Editorial photography placeholder · Operations Control Room · 16:9 / 4:3

Logistics decisions stay in the hands of operations.

Logistics managers and team leads reviewing stock balances, carrier constraints, and load plans in the control tower. Documentary photography in a real setting, with no fake sci-fi overlays.

05Human in control

Intelligence supports.
People decide.

Logistics is not a sterile mathematical optimization problem. It involves real constraints: driver availability, special agreements with key accounts, incompatible loads, and each branch’s commercial priorities.

IRIS lays out the economic and logistics trade-offs as clearly as possible; authority to execute always remains with operations managers.

Human authority
Exception handling
Causal traceability

Explainable recommendation · Explicit approval · Controlled action

06Enterprise integration

Connected to operations.
Isolated from uncontrolled action.

Your ERP and WMS remain the transactional systems of record. A decoupled compute layer feeds the Logistics Twin without compromising the integrity of your operational databases.

OPERATIONAL SOURCES

ERP · WMS · TMS · Order flows

IRIS LOGISTIC INTELLIGENCE

Logistics Twin · Correlations · Shuttle scenarios

EXECUTION SYSTEMS

Confirmed WMS orders · Shipping documents

HUMAN APPROVAL GATE (MANDATORY OVERSIGHT)

Recommendation review → Transport & driver constraint check → Approve / Reject → Controlled execution in the WMS

07Operational value

See the network.
Reconcile stock and capital. Move with intent.

SERVICE LEVEL

Fewer avoidable stockouts and faster fulfillment of customer orders.

CAPITAL TURNOVER

Less duplicated safety stock and less idle inventory spread across warehouses.

JUSTIFIED TRANSFERS

Fully loaded shuttles, and no more rush runs that make little economic sense.

FULL TRACEABILITY

Rationale, simulated scenarios, and approval sign-offs retained for every decision.

We do not claim arbitrary ROI figures up front. Actual impact depends on your network topology, the number of branches, the SKU turnover profile, and the baseline agreed during the pilot project.

IRIS LOGISTIC INTELLIGENCE

Know the network.
Anticipate the imbalance.
Direct the movement.

Let’s assess together how a Logistics Twin and the IRIS decision layer can be configured for your network of branches, hubs, and warehouses.

Distribute with context.Not by trial and error.

Stock is local.The problem is network-wide.

From fragmentationto network context.