Prompt

How do I set up a wholesale pricing engine for contract pricing, approval routing, and multi-currency quotes?

Marketplaces · B2B Marketplaces / B2b marketplaces1 observationLast seen Jul 23, 2026

Latest observation

Jul 23, 2026 · OpenAI APIWeb search: off

To set up a wholesale pricing engine that supports contract pricing, approval routing, and multi-currency quotes, you want to design it as a small pricing platform rather than a single pricing table. The key is to separate base pricing, customer-specific contract terms, approval logic, and currency conversion/quote generation.

1) Define the core pricing model

Start with these pricing layers, applied in order:

  1. List price / base price

    • Your default sell price by SKU, category, region, or price book.
  2. Contract price

    • Customer-specific negotiated prices.
    • Can be fixed price, discount %, margin-based, or formula-based.
  3. Promotions / special overrides

    • Temporary or campaign-specific pricing.
    • Usually lower priority than contract pricing unless explicitly allowed.
  4. Approval-controlled exceptions

    • Any price below floor, above ceiling, or outside contract terms triggers approval.
  5. Currency conversion

    • Convert the final net price into the quote currency using a controlled FX source and effective date.

A typical order of evaluation is:

Base price → contract adjustment → exception checks → approval routing → currency conversion → quote output


2) Design the pricing data model

You’ll usually need these objects:

Master data

  • Customer
  • Product / SKU
  • Price book
  • Currency
  • Region / market
  • Sales rep / account owner

Pricing objects

  • BasePrice

    • SKU
    • price
    • currency
    • valid_from / valid_to
    • region / channel
  • Contract

    • customer_id
    • start_date / end_date
    • status
    • terms_type
    • approved_by
  • ContractLine

    • contract_id
    • sku or category
    • pricing_method: fixed / discount / markup / formula
    • value
    • min_qty
    • max_qty
    • currency
    • tiering rules
  • PriceRule

    • conditions
    • priority
    • action
    • effective dates
  • ApprovalRule

    • threshold type
    • threshold value
    • approver role / queue
    • escalation path
  • FXRate

    • base_currency
    • quote_currency
    • rate
    • source
    • effective_datetime
  • Quote

    • customer
    • items
    • currency
    • fx_rate
    • pricing status
    • approval status
  • QuoteLine

    • sku
    • qty
    • unit_price
    • extended_price
    • discount
    • approval_required flag

3) Set up contract pricing logic

Contract pricing should be computed by matching the most specific applicable rule:

Rule precedence example

  1. Customer + SKU + quantity tier
  2. Customer + SKU
  3. Customer + category
  4. Customer-wide discount
  5. Standard price book

Common contract pricing methods

  • Fixed price
    • SKU X = $12.50 for Customer A
  • Percent discount
    • 15% off list
  • Markup/margin
    • Cost + 20%
  • Tiered pricing
    • 1–99 units = $10, 100–499 = $9.50, 500+ = $9.00
  • Formula-based
    • Base price + freight + surcharge − negotiated discount

Important controls

  • Validity dates
  • Minimum order quantity
  • Channel restrictions
  • Region restrictions
  • Product substitutions
  • Price floors/ceilings
  • Contract versioning

You should also make contracts versioned and auditable so you can see:

  • who changed the price
  • when it changed
  • what approval was used
  • what quote used which contract version

4) Build approval routing rules

Approval routing should trigger when pricing falls outside acceptable bounds.

Common approval triggers

  • Discount exceeds threshold
  • Margin drops below minimum
  • Quote value exceeds salesperson limit
  • Customer-specific exception to contract
  • Manual override by rep
  • Foreign currency quote exceeds risk threshold
  • Deal is strategic / special project

Example approval workflow

  1. Sales rep creates quote
  2. Engine calculates price
  3. System checks:
    • contract compliance
    • margin floor
    • discount cap
    • credit status
    • currency exposure
  4. If no exception → auto-approve quote
  5. If exception → route to approver based on rule:
    • Sales manager
    • Pricing analyst
    • Finance
    • Regional director
  6. Approver can:
    • approve as-is
    • reject
    • revise price
    • request more info
  7. Final approval is stored with timestamp and comments

Recommended routing design

Use a rules engine or workflow engine with:

  • condition evaluation
  • approver mapping
  • escalation timer
  • delegated approval
  • audit trail

Example rule:

  • If discount > 20%, route to Pricing Manager
  • If margin < 10%, route to Finance
  • If deal value > $100k, route to Director
  • If cross-border quote, route to Finance + FX review

5) Implement multi-currency pricing

Multi-currency quoting needs consistency and auditability.

Key principles

  • Store the base price in a single functional currency where possible
  • Keep the original pricing currency
  • Convert using a defined FX rate source
  • Capture the rate used at quote time
  • Avoid live FX changes altering already-issued quotes

FX rules to define

  • Rate source: Reuters, ECB, Oanda, internal treasury feed
  • Rate type:
    • spot
    • daily average
    • month-end
    • budget rate
  • Rate date:
    • quote date
    • contract date
    • shipment date
  • Spread / buffer:
    • optionally add FX margin to protect against volatility
  • Rounding rules:
    • per line or at total level
  • Currency-specific precision:
    • JPY no decimals, USD 2 decimals, etc.

Suggested flow

  1. Determine pricing in source currency
  2. Apply contract logic in source or functional currency
  3. Pull FX rate valid at quote timestamp
  4. Convert unit price and/or totals
  5. Round according to currency rules
  6. Lock FX rate into the quote

Important choice

Decide whether pricing is:

  • native-currency contract pricing
    Contract is stored in the customer’s currency
  • functional-currency pricing with conversion
    Pricing stored in one currency and converted at quote time

For most wholesale businesses, the safest approach is:

  • maintain contract terms in one currency per contract
  • convert to quote currency at quote generation time
  • store both the original and converted amounts

6) Create the pricing calculation engine

Your engine should be deterministic and rule-based.

Inputs

  • customer
  • SKUs
  • quantities
  • ship-to region
  • quote currency
  • date/time
  • contract ID
  • salesperson
  • channel

Output

  • unit price
  • extended price
  • discount details
  • approval flags
  • FX rate used
  • final quote totals

Pseudologic

for each quote line:
    base = get_base_price(sku, region, date)
    contract = find_applicable_contract(customer, sku, qty, date)

    price = apply_contract(base, contract)

    if price violates floor/margin/discount rules:
        flag approval_required
        route_approval(rule_set)

    converted_price = convert_currency(price, quote_currency, fx_rate_date)

    round converted_price by currency rule

sum totals
generate audit log

Best practice

Make the engine:

  • rule-driven, not hardcoded
  • versioned
  • testable with pricing scenarios
  • fully auditable

7) Add governance and auditability

This is critical for wholesale pricing.

Track:

  • original base price
  • all rule hits
  • contract version
  • approval chain
  • FX rate source and timestamp
  • manual overrides
  • final net price
  • quote and order linkage

Also implement:

  • role-based access control
  • approval delegation
  • quote lock after approval
  • periodic contract expiry reminders
  • pricing exception reporting

8) Integration points

Your pricing engine will usually integrate with:

  • CRM for customer and opportunity data
  • ERP for product, cost, inventory, and order creation
  • CPQ for guided quoting
  • Treasury/FX service for exchange rates
  • Workflow tool for approvals
  • Data warehouse/BI for reporting

9) Recommended technical architecture

A practical setup:

Front end

  • Quote creation UI
  • Pricing explanation panel
  • Approval status dashboard

Backend services

  • Pricing service
  • Contract service
  • Approval workflow service
  • FX rate service
  • Audit/logging service

Storage

  • Relational DB for contracts, quotes, rules
  • Immutable audit log
  • Cache for frequently used prices and FX rates

Rule engine options

  • Custom rules service
  • Drools
  • Camunda
  • Temporal for workflow orchestration

10) Example business rules

Here are example rules you can start with:

  • Customer contract price overrides list price
  • Any discount > 15% requires manager approval
  • Any margin below 12% requires finance approval
  • Quotes above $50,000 require director approval
  • FX rates are locked at quote creation time
  • Quotes expire after 30 days
  • Contract prices override promotions unless campaign flag = true
  • Manual price override must include reason code

11) Rollout plan

A phased rollout works best:

Phase 1

  • Base price books
  • Contract price lookup
  • Quote generation in one currency

Phase 2

  • Approval rules
  • Manual overrides
  • Audit trail

Phase 3

  • Multi-currency support
  • FX integration
  • Rate locking

Phase 4

  • Advanced tiering
  • Margin optimization
  • Analytics and price recommendations

12) A good starting blueprint

If you want a simple but robust first version, implement these modules:

  1. Pricing rules engine
  2. Contract repository
  3. Approval workflow
  4. FX conversion service
  5. Quote auditor
  6. Admin UI for pricing managers

If you want, I can also provide:

  • a sample database schema
  • a pricing rules pseudocode implementation
  • a workflow diagram
  • or a CPQ-style architecture for Salesforce, NetSuite, or SAP

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