Food & beverage
Connect demand, production,
inventory, traceability
and margin.
TraceabilityControl
For food and beverage manufacturers and product businesses where demand, ingredients, production, lot traceability, shelf life, quality, warehouse and margin need to remain connected. We help connect those decisions through Microsoft business applications, data and operational intelligence.
Food and beverage operations depend on connecting demand, product, batch, quality, availability and cost.
In short
What food and beverage 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.
Demand confidence
What demand is committed, what is forecast and what has changed since the last plan.
Material readiness
Whether the required ingredients and packaging will be available when production needs them.
Production readiness
Whether material, capacity, quality and labour can support the plan that has been made.
Quality status
What can be used, released or shipped, and what is currently held or rejected.
Traceability
Whether input, production and customer shipment can be connected on demand.
Shelf-life exposure
Which stock is becoming harder to use commercially before it becomes a write-off.
Service
Whether the business can satisfy the customer requirement it has promised.
Yield and waste
Where operational loss is affecting cost, and which products or processes carry it.
Working capital
How much cash is committed to ageing or constrained stock.
Margin
Which operational events are changing the commercial result before Finance sees it.
Who this is for
Food and beverage is not one operating model.
Manufacturers, beverage producers, co-packers, brand owners and distributors run materially different businesses. The operating model decides which conversation is useful.
Food manufacturer or processor
Production-led, with recipe or formula control, quality status, lot genealogy and shelf life at the centre of the operating model.
Beverage producer
Batch or process production with its own packaging, unit, quality and shelf-life characteristics rather than a discrete assembly model.
Co-manufacturer or co-packer
Producing to a customer's specification and materials, where customer ownership, specification control and trace obligations shape the process.
Brand owner with outsourced manufacturing
Demand, specification, supplier and commercial control matter more than shop-floor execution, because production sits outside the business.
Food or beverage distributor
No production, so the operating question is inbound, lot, expiry, allocation, warehouse and service. Distribution & Logistics is usually the better page.
Mixed manufacturing and distribution
Both models running at once, often with different planning, warehouse and margin behaviour per product group.
What this page covers
- Demand, forecasting and planning
- New product development and product specification
- Recipe, formula and bill of materials control
- Procurement, supplier and material risk
- Inbound receipt and lot capture
- Quality status, hold and release
- Production and process manufacturing
- Yield, scrap, waste and rework
- Lot and batch traceability
- Trace and withdrawal readiness
- Shelf life, FEFO and allocation
- Warehouse and fulfilment
- Cost, variance and margin
- Reporting and assessable intelligence
What it does not cover
- Food-safety, allergen or regulatory compliance certification
- Specialist laboratory information management
- Certified quality-management system capability
- Regulatory label content determination
- Sensor, telemetry and equipment monitoring platforms
- Specialist product lifecycle and formulation platforms
- Shop-floor execution where MES depth is genuinely required
Pure distribution requirements are usually better served by Distribution & Logistics, and retail or ecommerce requirements by Retail & eCommerce. Broader discrete production sits with Manufacturing.
The operating reality
The product may look simple. The operating decisions behind it often are not.
Demand, supplier, ingredient, batch, lot, shelf life, recipe, capacity, quality, warehouse, customer specification, delivery date, cost and margin all depend on each other.
Demand moves before the plan does
Orders, forecasts, promotions and seasonality change what should be produced and bought, sometimes after the purchase commitment has already been made.
Supply is variable
Raw material availability, lead time, quality and lot characteristics all move, and each movement changes what production can realistically make.
Production is constrained
Capacity, changeovers, materials, labour and quality release decide what actually runs, not what the plan assumed.
The batch carries the record
What was received, what was consumed, what was made and what was shipped need to stay connected long after the run has finished.
Time changes the commercial usefulness and exposure of stock
Remaining shelf life affects allocation, customer acceptance, write-off risk and working capital, not only warehouse housekeeping.
Margin is decided across all of it
Yield, scrap, expiry, service failures and rework each move the cost of goods before Finance sees the result.
When these are disconnected
- Stock expires before it sells
- Production reacts late
- A trace takes longer than the business is comfortable with
- Supplier problems become operational problems
- Warehouse decisions become inefficient
- Customer service suffers
- Margin is difficult to explain
Freshness, availability and margin are often different views of the same operating decision.
Buying more stock may improve short-term availability, but it may also increase expiry risk and working capital. Producing earlier may protect service, but it may shorten remaining shelf life. The operating model has to hold those trade-offs together.
One connected flow
Connect demand to production, batch and fulfilment.
Thirteen stages, running across four threads. Food and beverage operations may coordinate these stages across several teams and systems.
- Traceability
- Shelf life
- Cost
- Quality
Forecast and order
Real customer demand, forecast, seasonality, promotions and schedules held in one demand position.
Plan
Demand converted into a material, capacity and production plan with the assumptions visible.
Source
Supplier, lead time, price, minimum quantity and purchase commitment aligned to the plan.
Receive
Goods received against the order with lot, quantity, date and expiry captured at the point of entry.
Quality and release
Inspection, hold, release or rejection recorded against the lot and the decision made about it.
Produce
Production or batch orders consuming released material against recipe, capacity and quality requirements.
Batch and lot
Input lots, output batch, yield and scrap connected so the genealogy survives after the run.
Store
Location, condition, status and remaining shelf life recorded rather than remembered.
Allocate
Stock matched to customer requirement, including minimum remaining shelf life where that is agreed.
Pick
Picking against the allocated batch so what was promised and what ships are the same thing.
Ship
Dispatch, documentation and the customer record of which batch went where.
Return and review
Returns, complaints, rejections and quality events connected back to batch and supplier.
Finance and insight
Cost, yield, waste, service and margin explained from the operational record rather than reconstructed.
Demand and product
Production and purchasing become easier when demand is understood earlier.
Demand, planning, product master and recipe structure. These four decide how much of the rest of the operation is reacting rather than deciding.
- Sales orders, forecast, seasonality, promotions, customer schedules and channel demand
- Historical demand and product lifecycle held alongside what is currently committed
- What demand is real, what is forecast, and what changed since the last plan?
- Production and purchasing become easier when demand is understood earlier.
New product development
A product should reach production with an approved definition.
A product should reach production with an approved commercial and operational definition, not as disconnected spreadsheets and documents. We do not position ERP as a specialist PLM platform.
Concept
A commercial idea with an intended customer, channel and rough commercial expectation.
Product specification
What the product is promised to be, including identity, pack, storage and the characteristics that matter.
Recipe, formula or BOM
The structure that turns ingredients and packaging into the specified product, with expected yield.
Sample or trial
Trial production, results and the changes that follow, recorded against a version rather than an email thread.
Ingredient and supplier
Which materials are required, which suppliers can provide them and what that means for lead time and risk.
Cost
Expected material, packaging and conversion cost tested against the intended commercial position.
Packaging
Pack format, components, procurement requirement and the approved label reference the product depends on.
Approval
The customer-owned approval that makes a specification and version fit to produce against.
Item and version
The approved definition reaching the operational systems as a controlled item and version.
Production readiness
Materials, units, routing or capacity, quality requirement and warehouse setup ready before the first run.
Launch
Demand, first production, first shipment and the commercial review of whether it performed as expected.
Information a product-readiness view may hold
- Product
- Version
- Ingredient
- Recipe or formula
- Expected yield
- Supplier
- Packaging
- Cost
- Customer requirement
- Launch status
- Supporting documents
Product specification
Decide which system should own each field.
The point is not to create an unrestricted duplicate of specialist product data inside ERP. It is to know where the approved value lives and which systems consume it.
Product identity
Product or specification authority
Variant
Product or specification authority
Unit and pack
ERP, aligned to the approved specification
Recipe or formula reference
PLM or formulation where one exists, otherwise ERP
Shelf life
Specification authority, consumed by ERP
Storage requirement
Specification authority, consumed by ERP and warehouse
Quality characteristics
QMS or LIMS where one exists, otherwise ERP quality
Customer specification
Commercial and specification authority
Packaging
Product and procurement
Label reference
PIM or labelling system where one exists
Supplier
Procurement, held in ERP
Lifecycle status
Product authority, respected by every consuming system
Packaging and labelling
Packaging is an operational dependency, not a finishing detail.
ERP may need the approved packaging and label reference without becoming the specialist system that determines regulatory label content.
Packaging may affect
- Product identity
- Pack size
- Bill or formula requirement
- Procurement
- Production
- Cost
- Customer requirement
- Warehouse
- Launch
We do not claim regulatory label-management capability. Where dedicated control is required, a PIM or labelling system should own it.
Food safety and allergens
We can implement an approved operating process.
Where approved product information such as allergen attributes affects operational workflow, the platform may hold or consume the information the process requires. The responsibility for that information does not move.
The food business remains responsible for
- Food-safety policy
- Allergen policy
- Regulatory interpretation
- Approved product information
- Approved production controls
- Safety decisions
We can implement an approved operating process. The food business remains responsible for product safety, allergen controls and regulatory decisions. We make no compliance claim.
Source, receive, make
Supplier decisions affect availability, quality, shelf life and cost.
Procurement, inbound, quality and production. The record created at receipt often has to support a decision much later in the product lifecycle.
- Supplier, lead time, price, minimum quantity, purchase order and expected receipt
- Lot characteristics, quality history, availability and supplier performance
- Which supplier dependency could disrupt the current plan?
- Supplier decisions affect availability, quality, shelf life and cost at the same time.
Supplier quality
Supplier performance is not only whether the delivery arrived.
It may also include whether the material was usable when it arrived.
Context a supplier view may carry
- Supplier
- Material
- Lot
- Delivery performance
- Rejection
- Quality history
- Documentation
- Issue
- Action
Quality operating model
Quality status is what controls material, not a form that follows it.
A qualified process, configured around the organisation's own quality model. Not every business requires every stage.
Quality requirement
What has to be true for this material, batch or finished product to be usable, according to the customer's own quality model.
Sample or test where applicable
Where sampling or testing applies, the request and its context recorded against the lot rather than held separately.
Result
The outcome recorded against the lot, whether it came from an internal check, a supplier document or a laboratory system.
Disposition
The decision made about the material, by a named owner with the authority to make it.
Hold, release or reject
A status that actually controls whether the material can be consumed, allocated or shipped.
Issue or nonconformance
Where the result is a problem rather than a pass, it becomes a tracked issue rather than a conversation.
Action
Containment, correction, supplier action or process change, with an owner and a date.
Closure
Verification that the action worked, and a record that survives the people who were involved.
Where quality is typically triggered
- Supplier receipt
- Production
- Finished batch
- Customer complaint
- Return
ERP quality
Where standard quality controls fit the operating requirement: inspection, status, hold, release, rejection and the link to the lot.
ERP plus Power Platform
Where focused workflow, mobile capture, inspection forms or exception handling are appropriate additions rather than a new platform.
Specialist QMS or LIMS
Where laboratory, sample, specification, certificates, corrective action, supplier quality, audit or test-equipment requirements justify specialist capability.
The ERP needs the quality status required to control material and production. It does not necessarily need to become the laboratory or quality-management system.
Hold, quarantine and release
A status is only useful if it actually stops something.
Status terminology should follow the customer's approved model. For each status the important question is what it permits, who owns it and what evidence sits behind it. We do not invent regulatory rules.
Pending
Material exists and is recorded, but no disposition has been made yet.
- Consume
- Not until a decision is made
- Allocate
- Not until a decision is made
- Ship
- No
Held
Deliberately blocked pending investigation, testing or an approval the business controls.
- Consume
- No
- Allocate
- No
- Ship
- No
Released
Approved for use under the customer's own release authority and evidence requirements.
- Consume
- Yes
- Allocate
- Yes
- Ship
- Yes
Rejected
Not usable for its intended purpose. The onward action is a business decision, not a system default.
- Consume
- No
- Allocate
- No
- Ship
- No
Every status also needs an owner, an approval or evidence requirement and a defined next action. Those are customer decisions, recorded in the design rather than assumed.
Nonconformance and corrective action
An issue should survive the conversation it started in.
Where relevant, a tracked issue connects the problem to the lot, the action and the verification. We do not position this as certified quality-management functionality unless it has been proven.
Issue
Something did not meet the requirement, recorded once rather than in several places.
Source
Supplier, production, warehouse, customer or return.
Lot or product
The specific material or output the issue attaches to, so trace remains possible.
Severity or priority
According to the customer's own model, not a severity scale we have invented.
Containment
What was stopped, held or segregated while the position was established.
Investigation
What was examined and what the evidence actually showed.
Action
Correction, supplier action or process change, with a named owner.
Verification
Confirmation that the action had the intended effect.
Closure
A closed record that can still be found and understood later.
Process and platform fit
Food production is not always a standard discrete manufacturing process.
Where the production model is genuinely process-based, that has to shape the platform decision rather than be worked around after selection. Do not wait until design to discover that the production model requires materially different platform capability.
Formula or recipe
A formula-based structure rather than a fixed discrete bill of materials.
Batch production
Production organised as batches rather than discrete units or assemblies.
Co-product
More than one saleable output from a single production process.
By-product
Secondary output with its own handling, cost or disposal consequence.
Catch weight
A product sold, stored or produced in a variable weight against a nominal unit.
Yield variation
Output that varies materially from the theoretical formula expectation.
Scrap
Loss inside the process that has to be recorded rather than absorbed silently.
Variable material characteristic
Lot-level attributes that change how the material can be used, substituted or formulated.
Quality
Quality status that actively controls whether material can be consumed or shipped.
Shelf life
Expiry or best-before carried through receipt, production, storage and dispatch.
Customer sellable life
A minimum remaining life the customer requires at the point of delivery.
Campaign or sequence
Production order, campaign grouping and changeover constraints.
Warehouse
Warehouse execution depth, including directed work, bins and mobile capture.
Platform fit must reflect the production model. We will not force Business Central where deeper process-manufacturing capability is required.
Catch weight and units of measure
Catch weight is a qualification, not a checkbox.
Catch weight materially changes platform and process qualification. It should be proven against the actual purchasing, production, warehouse, sales and commercial scenarios rather than treated as a checkbox.
Unit-of-measure qualification
- Does the business purchase, produce, store or sell the same product using materially different units of measure?
- Is any product transacted by weight against a nominal pack or case unit?
- Do sales, purchasing and production each need a different unit for the same item?
- Does the commercial result depend on which unit the transaction was captured in?
- Would a conversion error change the stock position, the cost or the invoice?
Standard conversion does not necessarily handle every catch-weight or variable-unit scenario. Where material characteristics vary by lot, we also qualify whether they affect production choice, formula, substitution, yield, quality or finished output. Not every product business needs batch attributes.
Production sequencing is qualified alongside it, where relevant: sequence, campaign, changeover, customer-approved cleaning and setup constraints, capacity, material, labour and quality release. That is a planning and process question, not a food-safety claim.
Lot and batch traceability
Know where the material came from and where the finished product went.
Traceability is not a report. It is the by-product of recording the right thing at receipt, consumption, production, storage and dispatch.
Trace path
- 01Supplier
- 02Inbound lot
- 03Material
- 04Production batch
- 05Finished product
- 06Warehouse
- 07Customer shipment
Questions a trace has to answer
- Which supplier lots contributed to this batch?
- Which customers received this batch?
- What stock remains, and where is it?
- What other production used the same input?
- How long does it take to answer, and who has to be asked?
A trace has to work backwards and forwards. We describe operational traceability. We do not claim regulatory compliance on your behalf.
Trace and withdrawal readiness
Readiness is proved by a representative trace, not by a feature list.
The platform should make the organisation's approved withdrawal or recall process easier to execute and evidence. It does not define that process.
A representative trace should determine
- Affected input
- Affected output
- Related production
- Stock remaining
- Stock location
- Customer shipments
- Supplier
- Quality and status
- Related documents
- Responsible owner
Identify
The lot, batch, product or supplier delivery the question starts from.
Trace back
Which inputs, suppliers and receipts contributed to it.
Trace forward
Which production, outputs and shipments it went into.
Locate stock
What remains, in which location, in which status.
Apply customer-approved control
Hold, block or segregate according to the organisation's own approved process.
Identify affected parties
Which customers, sites or suppliers are involved.
Record action
What was decided, by whom, and what was done about it.
Reconcile
Confirm the quantities and locations account for the material identified.
We publish no recall-time claim. What can be tested is whether the record supports the organisation's own approved process.
Rework and reprocess
Genealogy should not disappear because material re-entered production.
Where rework or reprocessing exists, the relationship between the original material and the resulting output has to survive.
What rework should establish
- Original lot or batch
- Quantity
- Destination production
- Resulting lot
- Quality approval
- Cost
- Trace relationship
Shelf life, fulfilment and margin
Remaining shelf life changes which inventory can satisfy which demand.
Shelf life, allocation, warehouse and cost. Two lots of the same product may not be equally suitable for the same customer or demand because their remaining shelf life differs.
- Manufacture date, expiry, best-before and remaining shelf life held on the batch
- Customer requirements, allocation, warehouse location and slow-moving stock
- Two lots of the same product may not be equally suitable for the same customer or demand because their remaining shelf life differs
- Ageing inventory can increase expiry and working-capital exposure even where its accounting treatment has not changed.
Business Central
May support lot tracking, expiration dates, FEFO and warehouse picking where the required configuration and the wider operating model fit.
Business Central primarily uses lot and serial item tracking terminology.
Dynamics 365 Supply Chain Management
May support deeper batch processes, shelf-life planning, FEFO, customer sellable days, batch attributes, quality and process manufacturing.
Supply Chain Management provides deeper batch and process-manufacturing concepts. The platforms do not provide identical mechanisms.
We do not prescribe inventory valuation or write-down policy. That remains an accounting decision the business owns.
Customer specification and sellable life
The oldest stock is not always the right stock to ship.
Where a customer requires a minimum remaining life at delivery, that requirement has to reach allocation. Identical capability does not exist across every Microsoft platform.
Customer
Who is being supplied, and under what agreed commercial terms.
Product
Which product and pack the requirement applies to.
Customer requirement
What the customer has agreed to accept, recorded rather than remembered.
Required remaining shelf life
The minimum life the delivery has to carry when it reaches the customer.
Eligible inventory
Which lots can actually satisfy that requirement today.
Allocation
The assignment of eligible stock to the demand it can lawfully and commercially serve.
Shipment
Dispatch of the allocated lot, with the record of what was sent.
Cold chain and temperature
The ERP does not need to become the sensor platform.
This does not apply to every business. Where it does, the boundary matters: the business application needs the information required to control the commercial and operational consequence of an exception.
The business application may need
- Product
- Lot
- Location
- Shipment
- Exception
- Business action
- Trace relationship
Specialist telemetry or IoT may own
- Sensors
- Real-time temperature
- Equipment telemetry
- Alarms
Complaints and returns
Not every complaint is a quality failure.
Some are commercial, logistics or expectation issues. The value is being able to connect the complaint to the shipment, the lot, the production run and the input that created it.
Complaint or return
Raised by a customer, recorded once, with the commercial and operational context.
Customer
Who raised it, against which agreement and which delivery.
Shipment
Which dispatch it relates to.
Lot or batch
Which specific material or output was involved.
Production
Which run created it, and what the run record shows.
Input or supplier
Which inputs and suppliers contributed to that output.
Quality issue where relevant
Not every complaint is a quality failure. Some are commercial, logistics or expectation issues.
Action
Credit, replacement, investigation, supplier action or process change, with an owner.
Cost, yield and margin
Waste, expiry and yield are commercial numbers, not just operational ones.
Margin moves through operational events long before it appears in a management account. We do not prescribe accounting treatment.
Commercial drivers
- Material
- Packaging
- Labour and capacity
- Yield
- Scrap
- Waste
- Rework
- Expiry
- Purchase variance
- Distribution and freight where relevant
Expected cost
What the specification, formula and standard assumed the product would cost.
Actual operational result
What was actually consumed, produced, lost and reworked.
Variance
The difference, attributable to a product, process, supplier or event.
Commercial effect
What that difference did to the margin, and which decision could change it.
Specialist system architecture
One food and beverage operating model does not require one application.
One Food & Beverage operating model does not require one application. It requires clear ownership of product, lot, quality, production and financial information.
- 01ERPCommercial, purchasing, inventory, production and finance where appropriate.
- 02PLM, formulation or product specificationSpecialist product-development capability where required.
- 03QMS or LIMSSpecialist quality and laboratory capability where required.
- 04MES or production executionWhere shop-floor depth justifies it.
- 05WMSWhere warehouse execution exceeds ERP fit.
- 06PIM or labellingWhere product and packaging information requires dedicated control.
- 07Telemetry or IoTWhere temperature and equipment signals originate.
- 08CRMWhere customer and service requirements justify it.
- 09Data and reportingThe cross-system decision view.
Platform fit
Use each platform for the process it is best suited to manage.
Food and beverage organisations vary widely in production model, scale and customer requirements. The combination should follow the operating problem.
Business Central
A connected core where the combined requirement fits responsibly.
- Finance, purchasing, sales, inventory, warehouse and standard manufacturing in one platform
- Lot tracking, expiration and FEFO where the configuration and operating model fit
- Qualified against production complexity, quality process and integration together
- These are InteliSense qualification patterns, not company-size thresholds
Dynamics 365 Finance and Supply Chain Management
Where the requirement combines process depth rather than simply more scale.
- Formula and process manufacturing, batch orders, co-products and by-products
- Catch weight, batch attributes, deeper quality and shelf-life planning
- Customer sellable days, multiple sites or entities and deeper warehouse execution
- Chosen for enterprise planning and governance requirements, not because it is the larger ERP
Data, AI and Power BI
Demand, waste, yield, service and margin explained in one place.
- Reporting built on the operational record rather than spreadsheets
- Exception views for expiry risk, short stock and service risk
- Predictive use cases assessed against real history before they are promised
Power Platform
Use it proportionately.
Focused workflow and capture can be genuinely useful. Rebuilding mature QMS, MES or LIMS capability simply because Power Platform can create an application is not.
Focused uses
- Quality workflow
- Inspection capture
- Exception handling
- Supplier issue logging
- Approval routing
- Mobile capture
- Controlled forms
Confidence gates
Four points where confidence is re-confirmed.
A gate is a decision point, not a warning. Each one can end in proceeding, re-scoping or stopping.
Gate 1
Before commitment
Operating model confidence
Food & Beverage is not one operating model. This gate establishes which one this business actually runs before any platform conversation.
Confirmed at this gate
- Business model and product type
- Production method and demand pattern
- Recipe or formula control and approved versions
- Shelf life and traceability requirements
- Quality requirements and release authority
- Catch weight, co-products and by-products
- Warehouse execution requirements
- Customer requirements including remaining shelf life
- The business outcomes leadership needs to move
Decision
Proceed · Assessment first · Transform first · Route to Manufacturing or Distribution instead
Gate 2
Before build
Platform and architecture confidence
Which system owns what has to be settled before configuration starts, not discovered during testing.
Confirmed at this gate
- Business Central versus Finance and Supply Chain Management fit
- PLM or formulation ownership
- QMS or LIMS ownership
- MES and WMS boundaries
- PIM and labelling ownership
- Telemetry boundary where relevant
- CRM scope
- Data authority for every shared domain
- Integration, security and licensing design
- Reporting requirements and first-release scope
Decision
Proceed · Re-scope · Introduce specialist capability · Different platform
Gate 3
Before go-live decision
End-to-end food operational proof
The chain has to be proved as one flow, with the exceptions that actually happen, not only the clean path.
Confirmed at this gate
- Demand, plan, purchase, receive, lot, quality, production, consumption and finished output
- Warehouse, allocation, shipment and trace proved as one continuous flow
- Rejected incoming lot and held lot handled correctly
- Material shortage, yield variance and rework tested
- Short shelf life and a customer minimum remaining-life requirement tested
- Complaint or return connected back to lot and supplier
- A representative trace or withdrawal scenario completed from the system record
Decision
Proceed · Remediate · Re-test
Gate 4
Before go-live
Food & Beverage go-live readiness
Go-live is ready when stock, lot history, quality status, production commitments, customer demand and financial control can continue together.
Confirmed at this gate
- Products, ingredients and packaging
- Recipes, BOMs, formulas and approved versions
- Units, suppliers, customers and customer requirements
- Locations, bins, stock, lots and batches
- Expiry or best-before and quality status
- Open purchase orders, open sales orders and production or batch orders
- Warehouse work, integrations and label references
- Production-floor users, warehouse users, security and support
Decision
Go · No-go · Controlled deferral
Shared responsibility
We can implement the approved operating process.
The food business remains responsible for product safety, quality policy and regulatory decisions. Being explicit about this early prevents an uncomfortable conversation later.
The customer owns
- Food-safety policy
- Regulatory interpretation
- Product specification
- Allergen policy
- Quality policy
- Approved supplier rules
- Recipe or formula approval
- Shelf-life policy
- Customer requirements
- Hold and release authority
- Recall or withdrawal process
- Production policy
- Costing and accounting policy
- Data validation
- User acceptance testing
- Cutover
- Adoption
InteliSense may provide where agreed
- Process design
- Platform qualification
- Architecture
- Configuration
- Development
- Integration
- Migration
- Testing
- Reporting
- Cutover support
- Risk visibility
Cutover
Opening inventory has to carry more than a quantity.
A Food & Beverage cutover cannot be considered ready if opening inventory loses the lot, expiry or status information the live operation depends on.
Opening inventory must preserve
- Item
- Quantity
- Unit
- Location
- Lot or batch
- Expiration or best-before
- Quality status
Also consider
- Open sales orders
- Open purchase orders
- Active production
- Recipes, BOMs and formulas
- Approved versions
- Reservations
- Customer requirements
- Supplier references
- Warehouse work
Delivery foundations
The work that decides whether any of it holds.
Migration, integration, adoption, security and licensing carry much of the risk in a food and beverage implementation.
Value realisation
A lot number existing is not the outcome.
The ERP outcome is not that a lot number exists. The outcome is whether the organisation can use the operational record to make better decisions and respond with confidence.
Business outcome
The commercial or operational result leadership wants to change.
Baseline
What that outcome measures today, agreed before any change is made.
Operating change
What people will do differently, not only what the system will hold.
Platform capability
The configuration or capability that makes the change possible.
Adoption
Whether the change is actually being followed at the point of work.
Evidence
What the operational record shows once the change has had time to take effect.
Review
Whether to continue, adjust or stop. No change remains a valid outcome.
Outcome areas to baseline
- Trace completion
- Expiry exposure visibility
- Planning exceptions
- Supplier issue visibility
- Yield variance
- Waste visibility
- Customer-service traceability
- Reporting effort
We publish no improvement figures here. A baseline is agreed with the customer and the result is measured against it.
Leadership views
Different roles need different views of the same position.
One operating record, read in the way each leader has to act on it.
CEO
Whether service, waste and margin are moving in the same direction, and what is actually driving each of them.
CFO
Cost of goods, waste, write-off, yield and working capital tied up in stock that is ageing.
COO
What is running, what is blocked, what is short and where the plan is about to break.
Supply chain
Coverage, supplier dependency, lead-time risk and the products that need intervention now.
Quality
Batch status, holds, releases, complaints and how quickly a trace can be completed.
Data and operational intelligence
Potential predictive use cases, assessed before they are promised.
These are candidates, not claims. We look at the available history first and say plainly where the data does not support the idea. No food or beverage predictive model has been developed or evaluated, and current warehouse demonstrations are not food and beverage production models.
Choose the simplest capability that improves the decision
- Can reporting solve it?
- Can a rule solve it?
- Can planning configuration solve it?
- Can optimisation solve it?
- Is prediction actually needed?
Demand variation
Where history is reliable, forecasting support may highlight products whose demand pattern has changed.
Expiry exposure
Stock with limited remaining shelf life and no matching demand may be surfaced earlier than a period-end write-off.
Supplier-quality signal
Receipt, quality and complaint history may indicate which supplier or material carries recurring risk.
Production constraint
Capacity, material and changeover patterns may indicate where the plan tends to break before it does.
Yield and waste pattern
Consumption and output history may indicate which products, lines or inputs carry recurring loss.
Commercial routes
Which route fits depends on what is actually uncertain.
Data & AI and Predictive Intelligence are capabilities, not commercial route categories.
RAPID is qualified after fit, not before
Food and beverage is not itself a RAPID-fit criterion. Process manufacturing, quality depth, catch weight, specialist integration, warehouse execution and data condition may each materially affect RAPID qualification.
01
Operating model fit
Is the production, quality, traceability and shelf-life model understood and bounded?
02
Platform fit
Does the requirement fit the platform responsibly without deep process-manufacturing capability being assumed?
03
Delivery fit
Is the scope genuinely bounded, with data, integration and adoption effort that can be governed?
After go-live
Four separate services, not one blurred commitment.
No change remains a valid outcome.
Orientation
Where would you start?
Four questions. The answers show a likely starting point and are carried into any conversation, so nothing has to be repeated.
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, quality design 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.
Customer voice
Customer experience of working with InteliSense.
Customer voices
InteliSense customers
Hear our customers talk about InteliSense
Our current published customer videos evidence Dynamics delivery with InteliSense. We will publish Food & Beverage-specific customer evidence when the sector, engagement and approved claims have been verified.
These are general InteliSense customer evidence assets. The central evidence model currently holds no customer classified as Food & Beverage, so no food or beverage sector experience or outcome is claimed and none should be inferred from any customer name shown here.
Common questions
Questions food and beverage leaders ask.
Connect demand, batch and margin
Can you explain service, waste and margin from the same record?
If demand, production, quality, warehouse and finance are telling different stories, we can help identify where the operating model needs to connect more clearly.