FMCG · OPERATIONS · AI AGENTS

Run your FMCG business with one connected operation.

Connect demand planning, procurement, manufacturing, inventory, sales channels, logistics and finance. Opernex's proposed AI operations layer helps teams identify exceptions, prepare decisions and coordinate the work behind every order.

See the operating model shift Discuss Your Operations

Designed for own manufacturing, third-party manufacturing or a hybrid operating model.

Opernex FMCG Operations

ILLUSTRATIVE CONCEPT

ONE CONNECTED OPERATING MODEL

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Plan & procureDemand · Suppliers

⚙

Make & storeProduction · Stock

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Sell & deliverChannels · Logistics

One clearer view of operationsExceptions, owners and next actions

Inventory & expiryProcurementFulfilmentFinance & recovery

End-to-endProduct-to-cash lifecycle

32 proposed agents8 capability groups

Human-governed AIApproval-based actions

Phased implementationStart with one workflow

The operating model is changing

Traditional. Automated. Agent-based.

The shift is not from ERP to AI. It is from systems that record work, to workflows that automate rules, to AI agents that can investigate situations and move approved work forward—using business systems as their foundation.

Stage 01 · Record and manage

Traditional operations

People use ERP, reports, spreadsheets and calls to coordinate what happens next.

Teams check stock, orders and supplier status across separate screens.
People identify exceptions and chase updates between departments.
Decisions and follow-ups depend heavily on individual effort.

Stage 02 · Automate known rules

Rule-based automation

Software triggers predefined actions when a known condition is met.

Low-stock thresholds create alerts or purchase requisitions.
Scheduled workflows send reminders and move routine tasks forward.
Exceptions outside the rules still need people to investigate.

Stage 03 · Investigate and coordinate

Agent-based operations

AI agents use business context to investigate exceptions, compare options and coordinate permitted next steps.

Combine demand, stock, open orders and supplier signals to assess a risk.
Recommend a replenishment, transfer or escalation with supporting evidence.
Execute only authorised actions, then record results and escalate uncertainty.

One scenario · Three operating models

A fast-selling SKU is at risk of running out.

Demand rises while a supplier delivery is delayed. The difference is how the business detects, investigates and responds to the situation.

TraditionalA planner checks reports and calls procurement and the warehouse.

AutomatedA stock threshold triggers an alert or predefined replenishment workflow.

Agent-basedAn agent checks demand, stock, open orders and supplier signals, then compares options.

Governed actionAn approved workflow is initiated; material exceptions go to a person.

Illustrative operating model. Agent capabilities depend on connected data, implemented integrations, testing, permissions and approval policies.

The connected lifecycle

From product planning to cash collection

Connect the teams, partners and systems involved in getting the right product to the right channel—with traceability and control at each step.

Develop & launch

Coordinate product briefs, packaging, artwork, launch readiness and required product documentation.

Plan & procure

Translate demand into material needs, supplier orders, quote comparisons and replenishment proposals.

Manufacture & assure

Plan batches, follow production progress, record yield and wastage, and track quality checkpoints.

Store & allocate

Track inventory by location, batch and expiry; apply FEFO and channel-specific shelf-life rules.

Sell & fulfil

Coordinate marketplace, quick-commerce, D2C, retail and B2B orders against available stock.

Ship & resolve

Monitor dispatch, delivery, proof of delivery, non-delivery reports, returns and claims.

Reconcile & collect

Match settlements, freight bills, deductions, credit notes and receivables against source records.

Learn & improve

Review contribution margin, forecast bias, stock exposure and cash-cycle indicators for the next plan.

The shared operations foundation

ERP, distribution and field sales. Connected by design.

FMCG operations do not stop at the warehouse door. A connected operating model links product and stock records with distributor orders, field execution, fulfilment and finance—so teams work from consistent information instead of disconnected spreadsheets.

Core foundation

ERP & supply operations

The operational records and workflows that support product movement and financial control.

Product, SKU, BOM and supplier masters
Procurement, purchase orders and material planning
Production batches, yield, wastage and quality checks
Inventory by location, lot, batch and expiry
Warehouse, order, dispatch and invoice workflows
Finance, tax records, receivables and reporting

Distributor network

Distribution Management System (DMS)

Coordinate distributor transactions and visibility across primary and secondary sales processes.

Distributor onboarding and outlet mapping
Territory, price list, schemes and trade terms
Order booking, fulfilment and invoice status
Secondary sales and stock / sell-out reporting
Credit exposure, collections and overdue alerts
Returns, claims, expiry and scheme reconciliation

Field execution

Sales Force Automation (SFA)

Give sales managers and representatives a structured view of field activity and outcomes.

Sales territories, beats, routes and visit plans
Outlet visits, attendance and visit outcomes
Order capture, availability and merchandising checks
Sales targets, productivity and achievement tracking
Collection follow-ups, tasks and manager approvals
Outlet coverage and execution reporting

One shared operational pictureProduct & stock data · Orders · Distributor activity · Field execution · Logistics · Finance

Scope note: These cards describe the target operating model and potential module scope. They are not a representation that every listed workflow or integration is currently live in Opernex. Confirm available functionality and integration requirements during discovery.

The AI agent layer

32 specialised agents. One operating picture.

Group agents around real operational work. Start with monitoring and draft recommendations; expand to bounded actions after accuracy, integrations and approval rules are validated.

4 AGENTS

Planning & forecasting

Demand forecasts, promotion overlays, supply constraints and replenishment recommendations.

ForecastingS&OPDeployment

4 AGENTS

Procurement & suppliers

Supplier records, RFQ comparisons, PO follow-ups, lead-time alerts and invoice matching.

MRPRFQPO tracking

4 AGENTS

Production & quality

Batch scheduling, material consumption, yield variances, QC evidence and traceability checks.

BOM / batchQCTraceability

4 AGENTS

Inventory & warehouse

Stock discrepancy investigation, FEFO eligibility, cycle counts and near-expiry exposure.

FEFOStock accuracyExpiry risk

4 AGENTS

Orders & fulfilment

Order intake, validation, fulfilment-node recommendations and dispatch-document checks.

Order intakeOMSDispatch

4 AGENTS

Logistics & returns

Carrier comparison, shipment tracking, NDR follow-up, return grading and claims preparation.

Carrier rulesNDRReturns

4 AGENTS

Delivery & reconciliation

Match POD and GRN evidence, audit freight invoices and assemble discrepancy documentation.

POD / GRNFreight auditClaims

4 AGENTS

Finance & profitability

Channel settlements, deduction checks, receivable visibility and contribution-margin signals.

SettlementsReceivablesMargin

iCapability status: these eight groups represent a proposed 32-agent blueprint, not a claim that every agent is currently live. Exact agent scope, integrations and autonomy must be confirmed for the implementation.

A practical example

Turn operational exceptions into reviewable actions.

For example, a carrier invoice arrives above the contracted rate. An agent-assisted workflow could compare the invoice with shipment data and the rate card, flag the difference and prepare evidence for a finance reviewer.

✓

DetectIdentify a mismatch against available source records.

✓

PrepareAssemble the comparison and draft a dispute for review.

✓

Approve & trackKeep the authorised person in control and record the outcome.

FREIGHT AUDIT · EXAMPLEReview required

Carrier invoice comparison

Illustrative shipment · not actual customer data

Contracted freight₹1,200

Carrier invoice₹1,650

Potential discrepancy₹450

Next stepValidate → Approve dispute

A flagged difference is not confirmed savings until it is validated and recovered.

Channel-aware operations

One operating model. Different channel rules.

Use the same operational foundation while applying channel-specific requirements for orders, shelf life, fulfilment, deductions and settlement.

Marketplaces

Amazon and Flipkart

Fulfilment rules · Fees · Reimbursements

Quick commerce

Blinkit, Zepto and Instamart

Purchase orders · Fill rate · GRN and expiry deductions

D2C commerce

Shopify and brand websites

COD · RTO · Gateway and courier settlement

Retail & distribution

Modern trade and general trade

Vendor codes · Trade claims · Credit terms

B2B & institutional

Bulk and recurring orders

PO compliance · Appointments · POD and GRN

Exports

Cross-border orders

Shipping documents · Destination requirements

iImportant: apply channel-specific remaining-shelf-life rules before allocating inventory. Buyer manuals and applicable regulations take precedence over generic settings.

Operations control tower

Measure what moves the business.

Focus teams on operational signals, exception ownership and measurable outcomes instead of adding another disconnected dashboard.

Function	Operational signal	Agent-assisted response	Business objective
Procurement	Price variance, supplier OTIF	Compare quotes and flag late POs	Cost and availability control
Inventory	Stock accuracy, expiry exposure	Check FEFO eligibility and count variances	Reduce waste and stockouts
Fulfilment	Dispatch SLA, pick accuracy, RTO	Flag exceptions and suggest routing	Reliable customer service
Logistics	Freight per order, damage, delays	Compare carrier performance and invoices	Freight cost control
Finance	Deductions, settlement variance, receivable days	Match settlements and prepare claims	Cash recovery and visibility
Planning	Forecast bias, fill rate, inventory days	Highlight demand and supply gaps	Better stock and capacity decisions

Human-governed AI

Automate progressively. Keep control.

Agents should earn autonomy through measured accuracy, clear limits and auditable actions—not receive unrestricted access on day one.

Watch

Monitor records, detect exceptions and notify a person.

Observe

Draft

Prepare purchase orders, claims or replies for human review.

Approve

Act within limits

Perform approved actions under configured value and risk thresholds.

Bounded

Operating guardrailsRole-based accessApproval thresholdsAction logsHuman QACompliance review

A practical implementation path

Start with recovery. Expand into intelligence.

Build in stages, prove data quality and business value, then expand automation. Delivery timelines depend on discovery and connector readiness.

PHASE 01

Foundation

Master data, source-system connectors, common order and batch identifiers, shared operating view.

Outcome: trusted data

PHASE 02

Financial recovery

Settlement matching, freight audits, deduction evidence and claims workflow.

Outcome: measured recovery

PHASE 03

Daily operations

Order intake, dispatch checks, tracking, returns and exception handling.

Outcome: faster resolution

PHASE 04

Predictive planning

Demand forecasts, supply constraints, replenishment and expiry-risk recommendations.

Outcome: better planning

PHASE 05

Controlled autonomy

Expand automation only after accuracy, approvals and measurable performance are proven.

Outcome: governed automation

Designed for real operations

Built around your operating model.

Start with the systems and processes already in place. Define integration scope before automating critical workflows.

Does this require an own manufacturing plant?

No. The operating model can support third-party manufacturing, job work, own plants or a hybrid setup. Plant-specific workflows depend on available data and integrations.

Will it replace our ERP or OMS?

Not necessarily. The intended approach can connect existing ERP, OMS, WMS, marketplace, courier and accounting systems. The integration plan is confirmed during discovery.

Can every agent act autonomously?

No. Start with monitoring and draft actions. Financial actions, stock commitments, customer communications and quality or regulatory decisions require suitable controls and human approval.

Are all 32 agents available today?

This page describes a proposed agent blueprint. Availability depends on the capabilities, connectors and workflows that have been built, tested and released.

OPERATIONS, CONNECTED

Your business should work as one system.

Map your current systems, identify operational leakage and choose a practical first workflow for your FMCG business.

Specific features and integrations depend on product readiness, technical feasibility and the agreed scope.

Discuss Your Operations