More reliable promise
Availability relies on understandable stock states and horizons.

Capability · Inventory optimisation and reliability
Align physical truth, service levels, lead times, variability and risk to position, protect and replenish inventory with judgement.
A capability shaped by your flows, rules and field evidence.
Availability relies on understandable stock states and horizons.
Stockout, excess and delay are detected early enough to compare several levers.
Inventory is positioned according to its contribution to service and risk.
Every threshold, segment and exception retains a rationale and review date.
Decision framework
Optimisation is not about reducing everything. It requires distinguishing the role of each item, site and commitment.
Gaps to eliminate
Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.
Variances, units and statuses make displayed quantity differ from reality.
Decisions based on fictional stockStock may be blocked, reserved, non-compliant or outside the horizon.
Commitment impossible to keepStock accumulates where demand or capacity cannot absorb it.
Extra cost, obsolescence and transfersLot, quality and history do not always follow stock through to the promise.
Quality or compliance riskOperational journey
Each transition identifies the participant, responsible system and expected proof.
Receipt
Putaway
Reservation
Execution
Control
Return
Decision lab
These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.
E-commerce peak
Demand rises on a family with long supplier lead time.
Combine targeted safety stock, channel allocation and fulfilment capacity.
Service, coverage and peak cost compared.
Food industry
Several dates and quality statuses coexist for the same item.
Orchestrate FEFO, blocks, customer priorities and transport horizon.
Selected lot, rule and remaining shelf life visible.
Critical component
A low-value component blocks a high-contribution order.
Reprioritise, transfer or expedite using load, cost and criticality.
Shutdown risk and preventive action documented.
Multi-warehouse network
One site is overstocked while another approaches stockout.
Compare transfer, replenishment and demand shift on equal contribution.
Option, lead time and total cost reconciled.
Responsibility architecture
The responsibilities below form a reference architecture to adapt to the existing IT landscape.
Actionable cockpit
The same quantity must be readable by operational state: physical, blocked, reserved, in transit, under control or genuinely promiseable.
Success conditions
Item, unit, lot, location, status and hierarchy have a system and owner.
Parameters distinguish criticality, variability, lead time, seasonality and service level.
Controls target risks and seek the cause of variance, not just its correction.
Each threshold or policy change is compared with a baseline and horizon.
Related B‑AGILE solutions
A capability may be carried by a full suite, a standalone solution or an existing system. Diagnosis decides.
Execution core for physical truth, lots, reservations and counts.
Explore SuiteConnects omnichannel demand, promise and published stock.
Explore SuiteConnects materials, planning, production and availability.
Explore SuiteExtends traceability and inventory policy to agricultural cycles and lots.
ExploreGo further
Frequently asked questions
Start from physical stock, then apply reservations, blocks, lots, horizons, capacity and documented service rules.
No. WMS carries physical execution; ERP or planning generally carries demand, supply and management.
Yes on a pilot scope, provided confidence, controls and authorised decisions are visible.
Not necessarily. First make history, atypical events, lead times and responsibilities reliable, then select the right method.
With explicit statuses, horizons, FEFO/FIFO rules, customer criteria and quality controls.
No generic percentage. The project defines a baseline, indicators, scope and observation period.
Your context first
Identify the decisions, data, responsibilities and pilot that will deliver observable value.