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QpiAI Agent Hive

Agent Hive for FMCG

Give every order a real answer.

Bring the order, stock, allocation and delivery trail together, so the team handling the customer can explain what happened.

Map a workflowSee how it works
Illustrative order journey
Order received100Requested units
Allocation decisionPriority, stock and business rules-20
Order confirmed80Eligible units
Agent Hive follows both decisionsThe team can see the evidence and rule behind each change.
Fulfilment decisionBatch, freshness and location constraints-20
Order shipped60Delivered units

One customer question can send a team through four systems.

Most systems show the final quantity. Agent Hive follows the full trail and puts the reason, evidence and rules in one place.

OrdersPortals, EDI and account context
AllocationPriority, stock and custom rules
InventoryBatches, freshness and locations
FinanceInvoices, payments and receivables
Bring the case togetherSee the whole order in one place

Connect the order, decisions, rules and current conditions.

Follow the decision trailFind where the quantity changed
Retrieve evidenceFollow rule pathDraft explanation
Someone checks the answerReview the explanation

Correct it, approve it or escalate it

Clear customer responseAnswer with the evidence attached

The answer is not another quantity. It is the reason behind the quantity, with the evidence attached.

Start with the questions people ask every week.

Pick one recurring exception. Agent Hive finds the trail, prepares an answer and gives the right person a chance to check it.

Allocation question

Show exactly where the order was cut.

Agent Hive brings together the requested quantity, customer context, available stock and the rule that made the difference. The service team gets one answer to review.

ShortfallConfirmed below requested
GatherOrder, customer and stock
TraceRule and decision path
ReviewService team validates
ExplainEvidence-linked response
Representative questionWhy did the ordered quantity change before delivery?
OrderRequested quantityAllocationDecision and rulesFulfilmentBatch constraintsDeliveryFinal quantity

The answer shows which records, operating conditions and business rules mattered, ready for an operator to check.

FMCG solution blueprint

A practical starting point: explain one order from start to finish.

For a large FMCG company, the first workflow was scoped around a familiar service question: why did the quantity change between the order and delivery?

Engagement stage[Confirm stage]Scoped, PoC, pilot or production
Investigation baseline[Confirm baseline]Time and representative sample
Validated outcome[Confirm result]Speed, quality and SME review
Business impact[Confirm impact]Resolution, productivity or escalation

This is an anonymized solution blueprint. It does not claim a completed customer deployment or production result.

Read the full blueprint

Use the systems you already have.

Agent Hive sits across the order-to-cash trail. It helps teams investigate, check and act without replacing the systems of record.

What runs together
  1. Enterprise Context

    Orders, customers, inventory, rules and document relationships.

  2. Agent Orchestration

    Specialists retrieve, trace, compare and prepare the explanation.

  3. Evaluation & Improvement

    Representative cases, expert review and regression checks.

  4. Governance & Deployment

    Identity, permissions, traces, approvals and deployment controls.

Private environment

Keep the order context inside your environment.

Run Agent Hive in a private cloud, VPC or on-premises environment, with approved read paths to the systems that hold the evidence.

Private enterprise boundary

Operations teamsService and domain reviewers
Agent HiveRuntime, context and traces
Source systemsScoped, approved access

The questions that usually come up first.

Most teams start with one recurring exception, the evidence behind it and the people who know how the decision is made.

Bring us the order everyone keeps reopening

Map the decision your team still pieces together by hand.

We will start with one real case, the systems needed to explain it and the people who know how the process actually works.

Map a workflow