A chatbot that reads your Pinpoint reservations

Pinpoint Booking System stores calendars in the dopbsp_calendars table and reservations in dopbsp_reservations, with prices, deposits, and check-in dates per row. Calendar configuration including days, rates, and availability windows lives in dopbsp_calendars_days and dopbsp_calendars_settings. Pro extends those with multi-calendar bookings and per-resource pricing.

That gives admins a real conversational layer over the Pinpoint calendar grid. A property manager asks how many nights are booked across all units next month, the bot returns totals per calendar. An owner asks which calendar earns the most revenue this quarter, the bot reads dopbsp_reservations grouped by calendar id. A reception staffer asks which guests check in tomorrow, the bot returns names and arrival times from one query against the reservations table.

Multibot lets a separate public bot run on the front-end booking page with access only to availability and rate cards, no access to dopbsp_reservations. Display conditions lock the admin bot to staff roles. Conversation logging records every prompt and answer inside WordPress for accuracy audits as new calendars come online.

Workflow

How SleekAI plugs into Pinpoint

1

Map Pinpoint tables

Wire dopbsp_calendars, dopbsp_reservations, and the calendars_days settings into SleekAI data sources so the bot can read calendars, reservations, rates, and availability windows from one place.

2

Lock to property staff

Use display conditions on user role so only administrators or a chosen staff role see the admin reservations bot. Public visitors get a separate availability bot under multibot with no access to dopbsp_reservations.

3

Expose reservation lookups

Add helpers for nights booked per calendar, revenue per calendar over a date range, occupancy percentage, and check-ins on a given day, so the model has clean primitives for property-management reasoning.

4

Audit and refine

Read the SleekAI conversation log, learn which property-management questions recur, and turn them into pinned presets the team uses each morning instead of retyping the same daily prompts.

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A typical Pinpoint conversation

A property manager in WP Admin checking next month's load across multiple calendars, ranking by revenue, and pulling tomorrow's check-in list in one chat.

Comparison

Generic chatbot vs SleekAI for Pinpoint Booking System

Generic chatbot

Cannot read your dopbsp_reservations or calendar tables
Has no idea which calendars and rates your property has
Treats every reservation question as generic FAQ text
Will not filter reservations by calendar, date, or guest
Cannot return occupancy, revenue, or check-in lists

SleekAI chatbot

Reads dopbsp_calendars and dopbsp_reservations tables directly
Counts nights booked per calendar over any date range
Returns revenue and occupancy from real reservation rows
Display conditions for staff-role-only admin bot access
Logs every conversation, model, and token count in WordPress

Features

What SleekAI gives you for Pinpoint Booking System

Reservation-aware

The bot reads dopbsp_reservations with calendar id, check-in date, check-out date, status, and price, so it can answer real occupancy questions instead of generic copy from a static rental landing page.

Calendar-linked

Each reservation ties to a calendar id in dopbsp_calendars. The bot can rank calendars by nights booked, group reservations per unit, and surface which property needs more rate adjustments next quarter.

Revenue rollups

Prices and deposits live on dopbsp_reservations directly, so the bot returns real numbers for revenue per calendar and per month without manual exports to a spreadsheet or a separate reports page.

Use cases

Where Pinpoint property hosts use this

Daily check-in sweep

Pull tomorrow's check-ins with guest names, calendars, and arrival times in one chat question instead of opening each Pinpoint calendar view separately to scan the upcoming reservation list grid.

Quarterly revenue review

Ask which calendar earned the most this quarter and the bot reads dopbsp_reservations grouped by calendar id and totals the price column, returning ranked numbers for the property report in seconds.

Occupancy planning

Ask occupancy per calendar and per month so the team can spot soft weeks ahead of time and run rate adjustments or promotions on the right unit instead of pricing every calendar the same way each season.

The bigger picture

Why chat over Pinpoint helps property managers

Pinpoint Booking System runs vacation rentals, room rentals, and small-property bookings where the calendar grid is the single source of truth. The grid is fine for visual scanning of one unit at a time, but every interesting cross-unit question becomes a filter, a date range, and a click trail through reports. How many nights are booked across the portfolio next month, which calendar earns the most this quarter, who checks in tomorrow across all units, those exist as data and live nowhere convenient on the standard Pinpoint screens.

A plain-English layer over dopbsp_reservations collapses that work. A property manager can ask the same question on a phone between turnovers and get a real number, not a guess, because the model reads the same rows the calendar reads. The answers reconcile against the admin UI so trust builds quickly.

For tiny ops teams the win compounds, because a daily check-in sweep that used to take ten clicks becomes a one-sentence chat. The data was always there, the bottleneck was the interface. SleekAI keeps that interface in WordPress, scoped to the right role, with every conversation logged for ongoing audits and refinement.

Questions

Common questions about SleekAI for Pinpoint Booking System

Yes. Pinpoint Booking System stores calendars in dopbsp_calendars and reservations in dopbsp_reservations. SleekAI can be configured to read both via the data source wizard, so the bot reasons over real rows and current calendar state instead of guessing from rendered rental landing page copy.

Only if you configure it that way. Display conditions can lock the admin reservations bot to administrators or a staff role. A separate public booking bot can run with read access only to availability and rate cards, never to dopbsp_reservations, so PII stays scoped to the admin side.

Yes. The bot counts dopbsp_reservations rows per calendar id over any date range, calculates nights booked, and divides by available nights to return occupancy as a percentage. That makes it easy to spot underperforming units across the property portfolio every week or month.

Push older reservations into an OpenAI Files vector store and let retrieval pull only the relevant slice. Recent and upcoming reservations stay live in the data source so calendar queries feel real-time, while years of history sit in retrieval for seasonality and pricing trend questions.

Yes. The free version creates the core dopbsp_ tables, so the bot can read calendars, reservations, and rates. Pro features like deposits, multi-calendar bookings, and resource-level pricing add extra columns and meta that SleekAI can read once you enable them on the install.

If Pinpoint records a source field on the reservation row, yes. Reservations carry a source column for booking origin like website, phone, or imported iCal. The bot can group by source over a date range and return ranked counts and revenue per channel for the property manager.

Yes, when you enable the write helpers. SleekAI exposes tools that map onto Pinpoint reservation actions, so the admin bot can create or cancel on confirmed instruction from a staff user. The default install keeps read-only behaviour to avoid accidental changes from chat input.

Bring your own API key for OpenAI, Anthropic, Google, or OpenRouter. Each chatbot can pick a different model, so a public availability bot can run on a cheap model while the admin reservations and revenue bot uses a stronger reasoning model for the harder Pinpoint reporting questions.

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AI chatbot for Pinpoint Booking System: query reservations in chat

A chatbot that reads your Pinpoint reservations