Pricefx Agents Use Cases and Examples (Agents)

Track whether cost increases (or decreases) are properly reflected in prices, and flag products or customers where cost pass-through is too low.

• Where are we missing cost increases in our prices?

• Which products or customers show poor cost pass-through over the last X months?

• Which opportunities have the highest impact if we fix cost pass-through?

Identify customers whose margin rate has significantly deteriorated over time so teams can intervene early.

• Which customers have seen a big drop in margin over the last quarter vs the previous quarter?

• Where are we losing margin despite stable or growing revenue?

Detect customers whose average discount has increased significantly over time (creeping discounts) to protect margin.

• Which customers are getting higher and higher discounts compared to last quarter?

• Where are sales teams slowly eroding price without clear justification?

Spot high-revenue but low-margin cases where improvement would deliver significant upside.

• Which large deals or customers bring high revenue but fail our margin threshold?

• Where can we get the biggest margin lift without sacrificing volume?

Enforce logical price band structures (e.g. by product tier or packaging) in quoting tools, and highlight quotes that fall outside the expected band.

• Which quotes violate our price band logic for comparable products?

• Where are we under-pricing premium items relative to entry tiers?

• Quote price vs defined band for a given product hierarchy.

• Detection of band deviations (too low / too high vs peers).

• Integration into CPQ workflows (quote created/updated triggers the agent).

• Flags on quotes with band misalignment, with recommended correction.

• Notifications to approvers and guardrailed guidance surfaced directly in CPQ/CRM.

Identify accounts with untapped potential (e.g. significantly below peer mix or share-of-wallet) and suggest upsell or cross-sell opportunities.

• Which customers look ready for upsell or cross-sell based on their behavior?

• Where do we have under-penetrated accounts in key segments?

• Revenue and margin vs peer group for similar customers

• Basket composition vs target product portfolio

• Frequency / recency of purchases and growth patterns

• Shortlist of accounts with upsell readiness, ranked by potential value.

• Feed into campaigns, sales plays, or account plans.

Detect customers at risk of churn or that have become dormant, enabling proactive engagement.

• Which customers have sharply reduced their activity or stopped buying?

• Where should account managers focus retention efforts?

Ensure consistent pricing across regions and channels, catching unexplained differences that create arbitrage or fairness issues.

• Where do similar products have very different prices across regions or channels?

• Which markets are under- or over-priced vs our global strategy?

Maintain consistent pricing across warehouses / locations, especially when multiple stocking points serve overlapping markets.

• Are we charging significantly different prices for the same item depending on warehouse?

• Where could price inconsistencies cause internal conflict or channel complaints?

Detect quote line items that are outside of your pricing guidelines (for example below a boundary or floor price from Negotiation Guidance), so you can see where reps are selling off‑guidance.

• Which quotes or quote lines are being sold below our guidance bands (e.g. below floor prices)?

• Which reps, regions, or channels most often sell off‑guideline?

• What is the margin impact of off‑guideline deals?

Monitor quote cycle time and approval bottlenecks, so you can improve quote turnaround speed and reduce deal friction.

• How long does it take for quotes to move from creation to approval and from approval to customer decision?

• Where are approval steps slowing deals down (which approver, team, or region)?

• Which types of quotes (size, segment, product mix) have the slowest cycle time?

Measure and monitor compliance with price guidance from Negotiation Guidance, across quotes or executed transactions, to understand how closely the field follows recommended targets and floors.

• How closely do actual prices match our target, floor, and stretch guidance?

• Which segments, reps, or regions have the lowest guidance compliance?

• What margin uplift could we achieve by moving low‑compliance cases closer to target?