Skip to content
InteliSense IT — Navigating Change, Delivering Value

Distribution & Logistics

Connect inventory, warehouse,
fulfilment and delivery.

MovementControl

For distributors, wholesalers and product-led organisations where inventory, warehouse and fulfilment determine customer service and working capital. We connect those processes through Microsoft business applications, data and operational intelligence so the organisation can see what needs to move, what is blocking it and where attention is required.

See the outcomes

Distribution performance depends on flow: product, information, work, customer commitments and cash.

DemandBuyReceivePut awayPickPackShipInvoiceInventoryServiceCashCapacityCash and insightOne flow, from customer demand to collected cash

In short

What distribution leadership is actually trying to control.

Before capability, the question is which outcomes need to move. These are outcome areas to baseline, not benchmark promises.

  • Availability

    Can the organisation fulfil what it promises, from the stock and inbound it actually has?

  • Service

    Can orders leave when customers expect them to, on a normal day and a peak day?

  • Inventory

    Is stock protecting real demand, or holding cover for a signal nobody trusts?

  • Warehouse flow

    Can inbound, replenishment, picking and dispatch keep moving without competing for the same people?

  • Accuracy

    Are inventory, order and return records dependable enough to make decisions from?

  • Working capital

    How much cash is committed to inventory, open purchase commitments and freight?

  • Margin

    Which products, customers, channels and fulfilment patterns actually create value?

  • Resilience

    Where do supplier, inventory, integration, capacity or transport dependencies create risk?

Who this page serves

Product distribution, including own warehouse and fulfilment.

This proposition is written for distributors, wholesalers, stock-holding product businesses and warehouse-led fulfilment operations, including those running their own logistics.

Where we would qualify separately

Third-party and contract logistics is a different operating model. Customer-owned inventory, multi-client warehouse operations, client-specific processes and SLAs, storage and fulfilment charging, value-added services, operational billing, customer portals and contract profitability all change the commercial and system design.

We would qualify that requirement in conversation rather than claim contract logistics depth on a page. Freight forwarding is not a capability we position.

Value realisation

An outcome needs a baseline, a change and an owner.

A new ERP is not the distribution outcome. The outcome is whether the operation becomes easier to control. This is the chain we work along before agreeing what a programme should deliver.

  • Order service

    Baseline:
    Current on-time despatch and fulfilment performance, measured from your own data.
    Operating change:
    Availability rules, allocation policy and warehouse work sequencing agreed and owned.
    Platform capability:
    Availability, allocation, warehouse execution and dispatch controlled in one record.
    Adoption:
    Supervisors, pickers, packers and customer service working the same process.
    Observed result:
    Observed movement against the baseline, reviewed rather than assumed.
  • Inventory and working capital

    Baseline:
    Stock value, coverage, slow-moving exposure and open purchase commitment today.
    Operating change:
    Stock policy set by item behaviour rather than one blanket rule.
    Platform capability:
    Replenishment, reorder policy, transfers and commitment visibility in the platform.
    Adoption:
    Buyers and planners maintaining the assumptions behind the policy.
    Observed result:
    Coverage and exposure tracked over time against the same baseline.
  • Warehouse throughput

    Baseline:
    Current work volume, backlog behaviour, travel and replenishment interruption.
    Operating change:
    Storage, put-away, pick-face and picking strategy designed for the current order profile.
    Platform capability:
    Directed work, replenishment triggers and mobile execution where the platform supports it.
    Adoption:
    Shift teams trained on devices, labels and exceptions before the first live order.
    Observed result:
    Throughput and exception volume observed, not promised in advance.
  • Margin and cost to serve

    Baseline:
    Current visibility of freight, handling, returns and channel cost against revenue.
    Operating change:
    Pricing, rebate and landed-cost treatment agreed with finance and commercial owners.
    Platform capability:
    Landed cost, freight, rebate and returns recorded where margin is reviewed.
    Adoption:
    Commercial and finance teams reviewing the same figures in the same context.
    Observed result:
    Margin explained by product, customer and channel rather than reconstructed monthly.

The decision at the end of the chain is whether the change was worth it. We do not publish return-on-investment figures we cannot evidence.

The distribution reality

A customer order creates work across the entire operation.

Customer demand, product, availability, supplier, purchase order, inbound, warehouse space, bin, picker, pack station, carrier, dispatch, delivery, return and finance all sit behind one shipment. When those processes are disconnected, inventory becomes harder to trust, warehouse teams spend more time searching, workload becomes reactive, customer commitments become less reliable, returns take longer to resolve and working capital becomes harder to control.

Each decision is manageable on its own. The difficulty is that they all move at the same time.

  • Demand creates a commitment

    One customer order becomes availability, allocation, warehouse work and a delivery promise.

  • The stock has to arrive

    Purchase orders, lead time and supplier reliability decide whether the promise holds.

  • Receiving creates the next task

    Every inbound delivery becomes put-away, space, replenishment and warehouse workload.

  • Location decides picking effort

    Where stock is placed today decides how far someone travels tomorrow.

  • Capacity decides service

    If the work cannot be picked, packed and dispatched today, the customer feels it tomorrow.

  • Every movement affects cash

    Inventory, freight, returns and open commitments all sit inside working capital.

Distribution is not about holding stock. It is about moving the right stock through the operation at the right time.

More inventory does not automatically create better service. More warehouse activity does not automatically create more throughput. More orders do not automatically create more profitable growth. The operating model needs to understand flow.

One connected flow

Connect demand to delivery.

This is the core flow. Inventory, customer commitment, warehouse capacity, cost, data and control are not stages within it: they apply across all of it, which is why treating any of them as a single step tends to fail.

  1. Customer demand

    Understand what is being bought, what is contracted and what has changed.

  2. Availability

    Know what is free to promise before the promise is made.

  3. Replenish

    Turn demand into a replenishment signal against policy and lead time.

  4. Purchase

    Place commitments that protect demand rather than simply add stock.

  5. Receive

    Bring stock in accurately with the tracking the product requires.

  6. Put away

    Follow an intentional storage and replenishment policy rather than convenience alone.

  7. Replenish pick face

    Make sure the pick face is ready before the work arrives.

  8. Pick

    Sequence and allocate work so travel and congestion are not wasted.

  9. Pack

    Complete the order with the right packaging, weight, label and documentation.

  10. Dispatch

    Know what is ready, what is waiting and what is at risk of missing cut-off.

  11. Deliver

    Carry the commitment through carrier handoff, tracking and customer communication.

  12. Return and review

    Bring returns back into inventory, finance and customer understanding.

Applies across every stage

  • Inventory

    Every stage either commits, consumes, moves or exposes stock.

  • Customer commitment

    The promise made at order entry has to survive every later decision.

  • Warehouse capacity

    Space, equipment and people constrain what the flow can absorb today.

  • Cost and margin

    Purchase, freight, handling, returns and service cost accumulate throughout, not at the end.

  • Data

    Item, location, unit, tracking and customer data decide whether any stage can be trusted.

  • Control

    Security, approval, reconciliation and exception handling apply from purchase to credit.

Where complexity appears

What the operating platform should actually control.

Open only the areas that matter to your operation. Each one explains the business decision it supports rather than listing functionality.

  • Sales orders, forecast, seasonality, customer schedules and promotions
  • Contracts, historical demand, channel demand and product lifecycle
  • What is current demand, what is future demand, and what has changed?
  • Which demand is exceptional and which products need attention this week?
  • Replenishment becomes stronger when the demand signal is clearer.

Commercial model

Fulfilment decides service. Commercial terms decide margin.

Distribution margin is created and lost across pricing, rebates, freight, landed cost and cost to serve. These areas apply where they are relevant to your business, not by default.

Every inventory decision is both a service decision and a working-capital decision.

Warehouse complexity

How complex is the warehouse, actually?

Warehouse complexity is a combination of process, volume, variation, automation and dependencies. No single warehouse-size measure decides the platform.

  • Order profile

    Order mix, lines per order, units per line, B2B and B2C split, peaks and seasonality.

  • Storage

    Locations, bins, zones, reserve and pick face design, product storage restrictions.

  • Picking

    Single order, batch, wave, zone, cluster and prioritisation requirements.

  • Replenishment

    Triggers, pick-face design, reserve stock behaviour and interaction with picking work.

  • Automation

    Conveyors, robotics, sortation, automated storage, scanning and equipment interfaces.

  • Product

    Lot and serial control, dimensions, shelf life where relevant, handling constraints.

  • Network

    Sites, warehouses, transfers, legal entities and fulfilment allocation between them.

  • Integrations

    Ecommerce, EDI, carrier, WMS, TMS and automation interfaces and their owners.

  • Governance

    Security, support model, operational controls and resilience expectations.

Warehouse layout

Layout should be reviewed as the operation changes.

Fast movers, pick face, reserve stock, zones, co-picked items and travel path all change as the product mix changes. Warehouse layout should be reviewed as demand, product mix and operating constraints change.

What changes when slotting is wrong

  • Pickers travel further than the order profile requires
  • The pick face runs dry during the busiest waves
  • Replenishment competes with picking for the same people
  • Co-picked items sit in different zones for no operational reason

Inbound design

Does all inbound inventory genuinely need to enter storage?

Some inbound stock is already committed to a customer order before it arrives. Where that is true, storing it first adds handling without adding control. These patterns are options to qualify, not requirements for every distributor.

  • Cross-dock

    Inbound stock moves straight to outbound without entering storage, where demand is already committed.

  • Demand-linked receiving

    Receiving is prioritised by the orders waiting on the stock rather than by arrival order.

  • Flow-through

    Inbound quantities are broken down and allocated directly to outbound work.

  • Staging

    Stock is held in a controlled staging area rather than committed to a storage location.

Returns and reverse logistics

A return is both a customer transaction and an inventory decision.

Returns cross customer service, warehouse, inventory, quality and finance. The disposition decision is where most of the value or loss sits, and not every platform supports every pattern identically.

  1. Request

    Capture the reason, the customer expectation and the original transaction.

  2. Authorise

    Decide whether the return is accepted, and on what commercial terms.

  3. Receive

    Book the physical goods back with the tracking the product requires.

  4. Inspect

    Establish condition, completeness and cause.

  5. Disposition

    Restock, quarantine, repair, scrap, return to vendor or replace.

  6. Inventory action

    Put the stock back into the right status, location and availability.

  7. Financial action

    Credit, replacement, recovery or write-off, recorded consistently.

  8. Learning

    Feed the reason back into product, supplier, packaging and customer decisions.

Possible dispositions

  • Restock
  • Quarantine
  • Repair
  • Scrap
  • Vendor return
  • Replacement

Platform fit

Choose the platform for the operating model.

Both platforms can support distribution. The decision should be made against the combined requirement rather than company size or warehouse square footage. These are InteliSense qualification patterns, not Microsoft product thresholds.

Business Central may fit when

  • Order profile and picking requirements are supported by standard platform capability.
  • Inventory, tracking and replenishment needs fit the platform without heavy extension.
  • Warehouse execution depth is within what the platform and supporting architecture handle responsibly.
  • Site and entity structure is contained.
  • Automation and equipment interfaces are limited or absent.
  • The integration landscape is controlled and each interface has an owner.
  • Governance and reporting requirements are proportionate to the operation.
Explore Business Central

Dynamics 365 Finance and Supply Chain Management may fit when

  • Warehouse execution depth includes directed work and wave management.
  • Replenishment and location logic are more complex than standard capability supports.
  • Multiple sites and legal entities operate together.
  • Enterprise planning or production dependencies form part of the same operating model.
  • Enterprise governance, security and intercompany requirements apply.
  • The integration landscape is broad and operationally critical.
  • Broader operational orchestration is needed across supply, warehouse and finance.
Explore Finance & Supply Chain

The order the decisions should be taken in

  1. Operating fit

    Agree the distribution model, order profile, inventory policy and warehouse operating model.

  2. Architecture

    Decide what ERP controls and where specialist WMS or TMS capability begins.

  3. Platform fit

    Test Business Central or Finance and Supply Chain Management against real examples.

  4. Delivery fit

    Choose the route the situation supports, not the fastest one available.

Choose the platform for the operating model, not the warehouse size.

Architecture

Where ERP ends and specialist systems begin.

Do not custom-build an ERP into a specialist WMS if integration is the better architecture. Equally, do not add a specialist system because volume, automation or ecommerce exist in isolation.

  • ERP only

    The order profile, storage model, picking strategy and tracking requirements are supported by standard platform warehouse capability.

    Consider: Simplest to operate and support. Fewest interfaces, one operational record.

  • ERP plus extension

    Most of the operation fits, with a bounded gap that an extension or app can close responsibly.

    Consider: Extension ownership, upgrade impact and long-term support all need naming before it is built.

  • ERP plus specialist WMS

    Execution depth, equipment, automation, specialist workflow or labour orchestration genuinely exceeds what the ERP should be asked to do.

    Consider: Vendor maturity, integration design, data ownership, support model and who owns the inventory record.

What the WMS decision should weigh

  • Execution depth required on the floor
  • Equipment and material handling in use
  • Automation, robotics or sortation interfaces
  • Specialist warehouse workflow that ERP would have to be bent to support
  • Labour orchestration and work allocation requirements
  • Product handling constraints
  • Vendor maturity and roadmap
  • Integration design and error behaviour
  • Support model and who answers at 06:00
  • Ownership of the inventory record

Transport architecture options

  • ERP transport capability

    Microsoft ERP includes transport-related capability, and how much of it is relevant depends on the platform and the operation. It should be assessed rather than dismissed.

  • Carrier integration

    Direct or brokered carrier connections for labelling, manifesting, tracking and service selection where a supported interface is available.

  • Specialist TMS

    Where routing, freight rating, freight procurement, multi-leg planning or fleet management are genuinely specialised requirements.

  • External logistics provider

    Where transport is contracted out and the requirement is data exchange, visibility and proof of delivery rather than in-house planning.

Not every logistics requirement belongs inside ERP. Qualify each requirement individually.

  • Routing and scheduling
  • Freight rating
  • Carrier selection
  • Fleet management
  • Parcel operations
  • Multi-leg transport
  • Freight procurement
  • Tracking
  • Proof of delivery

Delivery route

The right route depends on how much is still undecided.

Transform, standard implementation, RAPID qualification, Recover, Optimise, Support and Partner Transition are different answers to different starting points. Not every new requirement is either Transform or RAPID.

  • Transform

    When the future operating model still needs defining

    Inventory policy, warehouse operating model, fulfilment rules, network design, commercial model, platform and integration all still need decisions. Do not configure the current operation into a new ERP by default.

    Explore Transform
  • Standard implementation

    When the model is understood and delivery needs control

    Platform and future processes are sufficiently understood, but complexity, data and cutover need conventional governed delivery. The methodology is the same discipline whether or not the timeline is accelerated.

    Explore Implementation
  • RAPID qualification

    When a strict-fit bounded requirement may support acceleration

    RAPID is assessed after platform fit, not before it. Business Central scope may be assessed for RAPID 30, and bounded enterprise scope for RAPID 90. Not every distribution programme qualifies, and warehouse complexity is a common reason it does not.

    Explore RAPID
  • Recover

    When the programme has lost confidence or control

    Problems can cross availability, warehouse execution, integration and inventory valuation. Recovery starts by establishing what is actually true before deciding what to change.

    Explore Recovery
  • Optimise

    When the platform is stable but friction remains

    Optional, evidence-led and only worth doing against a baseline. Slotting, replenishment policy, pick strategy, returns handling and deferred automation are common candidates.

    Explore Optimise
  • Support

    When the operation depends on the platform every day

    Once fulfilment runs on ERP, support is operational continuity across sales, purchasing, inventory, warehouse, carrier interfaces, EDI, reporting and data. Support keeps agreed capability operating.

    Explore Support
  • Partner transition

    When the platform can stay but the partner needs to change

    ERP, WMS, EDI, carriers, labels, scanners, integrations, service identities and support knowledge all need to move under customer control before responsibility transfers.

    Explore Partner Transition

Where Business Central is the agreed platform, RAPID 30 may be qualified. Where Dynamics 365 Finance and Supply Chain Management is the agreed platform and scope can be bounded, RAPID 90 may be qualified. Acceleration is assessed after platform fit and is never automatic.

Confidence gates

Four points where distribution confidence is re-confirmed.

A gate is a decision point rather than a milestone to pass. Each one can confirm the plan, pause it, or reduce scope, and each is evidenced rather than asserted.

  1. Gate 1

    Before design

    Operating model confidence

    The distribution operating model is described in business terms before anything is configured against it.

    Confirmed at this gate

    • Distribution model, customer and channel model, sites and warehouses
    • Order profile, inventory policy and warehouse operating model
    • Returns, transportation and the commercial model
    • Business outcomes to baseline, and any specialist systems already in use

    Decision

    Proceed to platform and architecture qualification · Investigate further where the model is still contested · Transform first where the future model is not yet agreed

  2. Gate 2

    Before commitment

    Platform and architecture confidence

    Platform fit and architecture boundaries are tested against real examples rather than a feature list.

    Confirmed at this gate

    • Business Central or Finance and Supply Chain Management fit, evidenced against your operation
    • ERP against specialist WMS, and the TMS or carrier architecture
    • Ecommerce, EDI, automation and equipment interfaces
    • Data, integration, security, licensing, reporting and first-release scope

    Decision

    Proceed with an agreed architecture · Re-scope where the first release is carrying too much · Introduce specialist capability, or change delivery route

  3. Gate 3

    Before cutover preparation

    Operational proof

    Representative operational scenarios are proven with real users and real data, not demonstrated by a consultant.

    Confirmed at this gate

    • Purchase to receipt, receipt to put-away, replenishment, availability and allocation
    • Order to pick, pack, dispatch, carrier handoff and return to credit
    • Transfer, inventory count and end-to-end finance
    • Integrations and the exception scenarios that occur on a bad day

    Decision

    Proceed to cutover preparation · Remediate the defects found · Re-test where the scenario was not representative

  4. Gate 4

    Before go-live

    Distribution go-live readiness

    Readiness is judged on stock, work, users and connected systems together rather than on configuration alone.

    Confirmed at this gate

    • Item and master data, opening inventory, locations and bins, lot and serial where required
    • Open sales orders, open purchase orders, transfers, warehouse work and replenishment setup
    • Carrier, EDI and ecommerce integration, devices and scanners, labels and printers
    • User and shift readiness, security and access, support cover and reconciliation

    Decision

    Go, with agreed hypercare · No-go, with named conditions · Controlled deferral of a defined part of scope

A warehouse go-live is safe when stock, work, users and connected systems can operate together, not simply when ERP configuration is complete.

Implementation

Cutover is a stage, not an afterthought.

The same governed methodology applies whether or not the timeline is accelerated. Improvement is optional, and only after the operation is stable.

  1. Understand

    Establish the operating model, order profile and constraints as they are.

  2. Design

    Agree inventory policy, warehouse model, fulfilment rules and architecture.

  3. Validate

    Test the design against real orders, real items and real exceptions.

  4. Configure and build

    Build the agreed scope, with extensions only where justified.

  5. Connect

    Design, build and own each interface rather than assuming it is standard.

  6. Migrate and rehearse

    Load, reconcile and rehearse. Opening inventory is proven, not hoped for.

  7. Prove

    Run representative scenarios end to end with the people who will use them.

  8. Prepare

    Readiness, training, devices, labels, security, support cover and cut-off plan.

  9. Cutover

    Count, reconcile, switch interfaces and start with a rollback position understood.

  10. Stabilise

    Hypercare across shifts until the operation runs without escalation.

  11. Operate

    Support keeps agreed capability running. Improvement is a later, separate decision.

Shared responsibility

Some of this only you can do.

We can configure the replenishment policy. The distributor has to own the assumptions behind it. Saying so at the start is more useful than discovering it during testing.

  • The customer owns

    • Inventory policy and the assumptions behind it
    • Allocation and fulfilment rules
    • Replenishment assumptions
    • Warehouse operating decisions, slotting and storage constraints
    • Carrier decisions and commercial pricing policy
    • Item data, units of measure, locations and bins, tracking rules and cut-offs
    • Physical stock validation and data cleansing decisions
    • UAT, warehouse user participation and cutover decisions
  • InteliSense may provide

    • Qualification and architecture
    • Platform recommendation
    • Configuration and build
    • Migration structure and execution
    • Integration design and delivery
    • Testing and cutover support
    • Risk visibility throughout
  • Shared

    • Scope decisions and first-release content
    • Test scenario design and acceptance
    • Readiness assessment at each gate
    • Hypercare priorities after go-live

Cutover in an operation that keeps shipping

  • Count, reconcile and agree opening inventory to a named source position
  • Cut-off for open sales orders, purchase orders, transfers and warehouse work
  • Locations, bins, tracking and replenishment setup loaded and checked
  • Carrier, EDI and ecommerce interfaces switched with a tested rollback position
  • Devices, scanners, printers and labels proven at the point of use
  • Support cover aligned to shift patterns rather than office hours

Adoption in the warehouse

  • Supervisors, receivers, replenishment teams, pickers, packers and dispatch
  • Inventory control, buyers and planners, and customer service
  • Shift coverage, shared devices, scanners, printers, labels and packing stations
  • Exception handling practised before it is needed live

A warehouse process should be familiar before the first live order depends on it.

Explore Change, Adoption & Training

Foundations

Data, integration, security and licensing decide whether it holds.

These are the areas that quietly determine whether the operating model survives its first busy week.

Data migration

The warehouse cannot trust a new system if opening inventory is not trusted. Opening inventory should reconcile to an agreed source position before the operation relies on it.

  • Items, customers, vendors, units of measure and reference data
  • Locations, bins, inventory and lot or serial where required
  • Open sales orders, open purchasing and transfers
  • Reconciliation of opening inventory to an agreed source position
Explore Data Migration

Integration ownership

No integration should be assumed as standard. For each material interface we establish:

  • Business purpose and the decision it supports
  • Source, destination and authoritative owner of the data
  • Data, timing and identity used
  • Error behaviour, monitoring and alerting
  • Support owner and supplier responsible
  • Ecommerce
  • EDI
  • Carrier
  • Specialist WMS
  • TMS
  • CRM
  • PIM
  • Automation and equipment
  • Finance services
Explore Integration

Security and licensing

Warehouse user design, security design and licence design should be considered together, particularly where front-line or shared-device access is involved.

  • Office users, warehouse supervisors and front-line warehouse users
  • Mobile and scanner users, packing stations and shared-device scenarios
  • Integration and service identities with their own lifecycle
  • Access to commercial data such as pricing, cost and margin

Already live

Warehouse workarounds are rarely a single fault.

If several of these are true, the issue may extend beyond one configuration fault and deserve broader assessment.

  • Stock is not trusted by the operation
  • Users bypass ERP to get the job done
  • Warehouse processes are too complex to follow
  • Picking is inefficient and short picks are rising
  • Customisations are unstable
  • Integrations fail without anyone noticing quickly
  • Planning output is ignored
  • Reporting is manual and the support backlog is growing

Support keeps agreed capability operating. Optimise is a separate evidence-led route where worthwhile improvement is identified. Where the relationship itself needs to change, partner transition moves responsibility without replacing the platform.

Leadership view

Different roles need different answers from the same operation.

These are the questions the operation should be able to answer without rebuilding the data first.

  • What demand needs protecting?
  • What is arriving?
  • What inventory is available?
  • Where is stock located?
  • What warehouse work is waiting?
  • Where is backlog growing?
  • Which orders are at risk?
  • What is ready to dispatch?
  • Where are returns increasing?
  • How much cash is tied up in inventory?
  • COO

    Orders, backlog, throughput, capacity, inbound, warehouse, dispatch, returns.

    Where is the operation losing flow?

  • CFO

    Stock value, open purchase commitments, margin, freight cost, returns, working capital, cash.

    How much capital is supporting service and how much is simply waiting?

  • Warehouse director

    Open work, zones, travel, replenishment, backlog, SLA risk, capacity, exceptions.

    Where does the warehouse need intervention today?

  • Commercial director

    Customer, channel, product margin, rebate position, returns and cost to serve.

    Which revenue is actually profitable once fulfilment cost is included?

  • Customer service

    Order, shipment, delay, return, availability, case, communication.

    Can the team answer the customer without asking three operational teams?

Data & AI

Choose the simplest capability that improves the decision.

Foundations first: process, data and ownership. Only then does the choice between insight, automation, optimisation, prediction and AI assistance become meaningful. Not every automation needs AI.

  • Foundation

    Process, data and ownership. Nothing above this layer holds without it.

  • Insight

    Choose this when visibility is the problem and the decision is already understood.

  • Automation

    Choose this when predictable coordination can be removed from people.

  • Optimisation

    Choose this when a better arrangement needs recommending, such as storage or work sequencing.

  • Prediction

    Choose this when earlier warning can genuinely change the decision.

  • AI assistance

    Choose this when summarisation, interpretation or content generation is useful.

Automation candidates worth reviewing

  • Purchase approval
  • Shipment notification
  • Exception alerts
  • Task generation
  • Customer updates
  • Carrier data
  • Return workflow
  • Reporting preparation
Explore Data & AI

Operational Intelligence

Operational Intelligence demonstrations.

Operational Intelligence may include optimisation, forecasting and risk prediction. These three are current demonstrations rather than deployed products, and we describe them exactly as /predictive-intelligence does.

  • Are items stored in the right locations for today's demand?
  • Where is workload likely to exceed current capacity?
  • Which work is most likely to miss its required service window?
  • Where is pick-face pressure building before a shortage occurs?
  • Which supplier is drifting on lead time before it affects availability?

Evidence status: Demonstration

Warehouse Slotting Advisor

Optimisation and recommendation

What it sees: Pick history, movement, bin, zone, velocity, co-pick behaviour and current layout.

What it recommends: Ranked re-slotting opportunities across the current layout. It does not forecast future demand.

Decision it supports: Which moves are worth reviewing, and in what order?

Evidence status: Demonstration

Warehouse Labour & Backlog Forecast

Forecasting

What it sees: Open orders, workload, historical throughput, backlog, shift and zone against cut-off.

What it recommends: Where future pressure is likely to build against available capacity.

Decision it supports: Where should operational management focus attention?

Evidence status: Demonstration

Pick Wave SLA Risk Predictor

Risk prediction

What it sees: Wave, progress, time remaining, workload, order characteristics and past performance.

What it recommends: Ranked service risk across current work.

Decision it supports: Where can intervention still change the outcome?

All three are Level 1 Demonstrations built on synthetic data. That means we can show the capability and assess it against your data. It does not mean production deployment or a verified customer outcome, and we will not describe it as one.

Potential use cases, not products

  • Inventory exposure
  • Replenishment risk
  • Supplier delay
  • Demand risk
  • Return pattern
  • Carrier performance
  • Capacity pressure

Each would be qualified before anything is promised:

  • Which business decision would change
  • What baseline exists today
  • What data is available and reliable
  • Whether the signal is strong enough to act on
  • Whether the timing leaves room to intervene
  • Whether the action is genuinely available to the operation
  • What it would cost to run and maintain
Explore Predictive Intelligence

Power BI

See demand, inventory, warehouse and cash in the same decision context.

Reporting should explain the operation rather than reconstruct it. These signals may span several operational systems and data sources.

Typical dashboard themes

  • Orders
  • Availability
  • Inventory
  • Inbound
  • Backlog
  • Picking
  • Dispatch
  • Returns
  • Supplier
  • Working capital

KPI categories worth agreeing early

  • Service
  • Availability
  • Inventory turn
  • Working capital
  • Warehouse productivity
  • Order accuracy
  • Supplier reliability
  • Inbound reliability
  • Returns
  • Margin
  • Cost to serve
  • Cash collection

These are categories, not benchmarks. Targets should come from your operation and be measured against your own baseline.

Evidence

Customer experience of working with InteliSense.

Our current published customer videos evidence Dynamics delivery with InteliSense. We will publish Distribution & Logistics-specific customer evidence when it has been verified.

Customer voice

Customer experience of working with InteliSense.

Customer voices

InteliSense customers

Hear our customers talk about InteliSense

We do not infer sector or operating problem from a customer logo. Future distribution evidence will separately verify the customer, the sector, the engagement, the operating problem and the outcome before it appears here.

See all customer stories

How we work

Understand the operation before configuring the system.

  • Understand the flow first

    Distribution problems are usually flow problems rather than module problems.

  • Platform fit before configuration

    Choose the platform for the operating model, not the warehouse size.

  • Warehouse design is a business decision

    Location model, put-away, replenishment and picking should reflect the demand profile you have now.

  • Integrate rather than recreate

    Do not custom-build an ERP into a specialist WMS if integration is the better architecture.

  • Validate with representative work

    Purchase to receipt, order to dispatch, return to credit and inventory count with real users.

  • Trusted opening inventory

    The warehouse cannot trust a new system if opening inventory is not trusted.

Where to start

Tell us where you are, and we will tell you what the situation supports.

Four questions. The answers are carried into the conversation, so nothing needs repeating. We do not select a platform or promise acceleration from a form.

1. Where are you today?

This is what decides the delivery route. Everything else refines it.

2. What kind of distribution operation is this?

Choose every model that applies. Many operations combine more than one.

3. Where does the pressure sit?
4. What runs the operation today?

Indicative signal

Answer the questions and we will show a likely starting point. This is orientation rather than a recommendation, and we do not decide platform fit or acceleration from a form.

Your answers are carried through, so you will not be asked to repeat them. Final qualification is always a conversation.

Common questions

Questions distributors ask us.

Start with the operation

Understand the flow before configuring it.

If availability, inventory, warehouse execution, fulfilment, returns, margin or working capital are harder to control than they should be, we can help you understand where the constraint actually sits and which platform and delivery route your situation genuinely supports.

Explore Industries