AI AGENT TEMPLATE
An AI agent that watches boot inventory by size in real time and alerts the counter when a specific size is about to sell out — before you tell a customer "sorry, not available."
The single most frustrating customer experience in a ski rental shop is the Mondopoint-27-who-just-walked-in being told there are no more size 27 boots. It happens every peak season, usually because the counter is too busy to track remaining stock per size and only finds out when they reach for a pair that is not there. The Ski Boot Low-Stock Alert Agent makes that situation preventable.
The agent watches the inventory database in real time. When the count of available boots in any specific size drops below a configurable threshold (default: 3 pairs), it fires an alert to the counter and the shift lead. The alert is specific: "Size 26.5 down to 2 pairs — 14 bookings today still need a size 26-27." The counter then has a moment to make a decision: pull in-transit returns ahead of schedule, direct walk-ins to adjacent sizes, or stop taking new walk-in bookings for that size.
This is an operational agent, not a marketing one. It does not reach customers directly — it reaches staff, so staff can reach customers proactively rather than reactively.
"Every hour during open hours, check boot inventory available by Mondopoint. If any size has 3 or fewer pairs available AND bookings remaining for that size today exceed the available count, alert the counter team immediately with: size, pairs available, bookings today still waiting for that size, adjacent sizes with more availability. Repeat every 30 minutes if the situation persists. Log the alert for end-of-day review."
Paste this into Dash Agents. Dash reads the prompt, picks the right tools, assembles the logic, and creates a ready-to-run agent in seconds.
The agent acts on live inventory data — you need reasonably current return tracking for it to work. If returns are only logged at end-of-day, the alert fires based on stale data.
The agent runs every hour during open hours. Each run compares current inventory against expected demand.
Query current available boots (not currently rented, not out for repair). Group by Mondopoint. Small shops have maybe 20 size rows; large shops may have 40 when half-sizes and men's/women's are separated.
For each size, count how many bookings today still need a boot in that size (customer has not yet arrived). This is the demand against remaining stock.
Flag any size where available pairs <= 3 AND demand exceeds availability. These are sizes where the next customer asking will be disappointed.
For each flagged size, identify the nearest sizes (typically +/- 0.5 Mondopoint) with available stock. Customers at the edge of a size are often willing to take adjacent; customers who measure squarely in the size may not be.
Build a short, actionable alert: "Size [X] at [Y] pairs, [Z] bookings remaining. Adjacent availability: [size A] has [N], [size B] has [M]."
Push via the counter tablet notification, plus email to the shift lead. During peak hours, SMS the shift lead so they see it without looking at email.
If the flagged situation persists, re-alert at 30-minute intervals. Noise is a problem, but under-noise is a bigger problem.
Every alert logs. End of day, review: what alerts fired, what the outcome was, whether the size ran out. This tunes next season's buying decisions.
Changes by re-prompting:
Real-time inventory visibility is not a nice-to-have for rental shops — it is operational necessity:
Low-stock alerts are one of the quietest but most impactful agents a rental shop can run. It works in the background, alerts only when there is a genuine problem, and prevents the single worst kind of customer-facing failure. Turn it on, let it run for a week, and the counter staff will start naming it fondly.
The best method is asset-level tracking where every pair of boots has a unique ID, and every rental transaction logs the boots out and back in. Software like EquipDash does this automatically and gives you live availability by Mondopoint size. Manual tracking via spreadsheet is feasible for very small shops but breaks down above ~50 boot pairs. Real-time visibility is what lets you catch low-stock situations before they become walk-in disappointments.
Dash Agents handle the repetitive work so your team can focus on customers. Start your free trial and build your first agent in minutes.
