Pricing Agent

The Pricing Agent keeps your rates honest against demand. It reviews your fleet weekly, recommends rate adjustments with reasoning, and powers the per-unit price recommendations in your dashboard.

How It Works

1. Weekly batch review — every Monday, the agent analyzes each organization's fleet: utilization, booking patterns, rate structure, and category demand
2. Per-unit recommendations — for any piece of equipment, request an AI rate recommendation on demand (from the equipment page or GET /api/v1/equipment/{id}/recommended-price)
3. Reasoned output — every recommendation comes with the "why": utilization level, demand signal, seasonal context

The agent recommends; you decide. Your base rates only change when you change them.

The Agent vs. the Quote Engine

Two related but different things:

• The Pricing Agent (this page) advises on your base rates — the anchors you set per unit
• The dynamic quote engine prices each individual booking live: your base rate × demand multiplier × seasonal adjustment − duration discount

The agent tunes your anchors; the engine flexes around them per booking. Both draw on the market learning loop, which learns demand by category from your completed rentals.

What Drives Recommendations

• Utilization: a unit booked 90% of the time can carry a higher rate; one sitting idle needs a lower one
• Seasonality: construction demand peaks in summer (+10% quote adjustment) and dips in winter (−10%)
• Category demand: learned multipliers from your own booking history
• Duration mix: if everything rents long-term, weekly/monthly anchors matter more than daily

Acting on a Recommendation

1. Review the recommendation and its reasoning
2. If it makes sense, edit the unit's rates on the Fleet page
3. New rates apply to new quotes immediately; existing rentals keep their locked-in price

Sanity-Checking Your Rates

Use rate comparison (GET /api/v1/rates/compare) to see how a unit's rate stacks up within its category for a given rental duration — useful before accepting or rejecting a recommendation.

Schedule

Task	When
Weekly pricing review (all orgs)	Mondays
Per-unit recommendation	On demand

Coming Soon

• Auto-apply mode with min/max bounds you control
• Pricing strategy presets (conservative / balanced / aggressive)
• Competitor rate intelligence

Troubleshooting

Recommendations seem generic?

• The agent gets sharper with rental history — a new account has little signal to work with
• Make sure categories are accurate; demand is learned per category

Recommendation looks wrong?

• You're the override — recommendations never change rates by themselves
• Check the reasoning attached to the recommendation; if it's using stale utilization, complete or close out old rentals

See AI Pricing Engine for the full pricing picture.