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Commerce · Recommendation

Offer Recommendation Agent

Proposes offers with margin context, pending manager approval.

Offers are built inconsistently, without margin context at the moment of decision.

Function
Sales
Industry
Automotive
Capability
Recommendation

Business problem

Sales teams assemble offers from spreadsheets, price guides and memory. Margin, inventory position and customer history are rarely in front of the person making the offer.

What the agent does

Input → Intelligence → Decision → Action

  1. 01 · Input

    Lead context, pricing recommendation and margin targets

  2. 02 · Intelligence

    Offer construction against margin and policy

  3. 03 · Decision

    Proposed offer with margin context

  4. 04 · Action

    Submit for manager approval, then send

Agent workflow

How the Offer Recommendation Agent runs.

  1. 01

    Signal

    A qualified opportunity is ready for an offer.

  2. 02

    Context

    Pricing, margin targets and customer history are gathered.

  3. 03

    Reasoning

    The agent builds an offer within approved bounds.

  4. 04

    Recommendation

    The proposed offer is presented with its margin impact.

  5. 05

    Manager approval

    A manager approves before anything reaches the customer.

  6. 06

    Action

    The approved offer is sent and tracked.

Capabilities

  • 01

    Margin-aware offers

    Every proposal shows its effect on margin.

  • 02

    Policy bounds

    Offers stay within approved discount and pricing rules.

  • 03

    Approval queue

    Managers review and approve proposals in one place.

  • 04

    Offer history

    Keeps a record of what was proposed, approved and accepted.

Human oversight

Offers are pending manager approval by design — the agent proposes, people decide.

  • Bounded automation
  • Approved guardrails
  • Human oversight
  • Escalation when judgment is required

Business impact

  • More consistent offers
  • Margin visibility at the point of decision
  • Reduced manual coordination
  • Faster approval cycles

Related

Related agents, solutions and industries.

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