✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

AI Chatbot for Store Hours: Always-on Opening Times Bot

SleekAI reads your locations custom post type, holiday postmeta, and seasonal hours fields, then answers 'are you open right now' in plain English. You bring your own OpenAI, Anthropic, Google, or OpenRouter API key and only pay the model's per-token rate.

♾️ Lifetime License available

SleekAI chatbot for Store Hours

Stop losing visitors to 'when are you open'

Opening hours look simple until you actually run a shop. Weekday hours differ from weekend hours, the cafe inside closes earlier than the main floor, two public holidays this month shift the schedule, and the curbside-pickup window has its own cutoff. A static hours table on the contact page cannot hold all of that without becoming a wall of fine print no one reads.

SleekAI sits on top of the data your WordPress already stores. The bot reads the locations custom post type, the regular_hours postmeta with weekday keys, the holiday_closures repeater, and any seasonal override fields you maintain in ACF or Meta Box. A visitor types 'are you open on July 4th' and the reply quotes the exact holiday hours for the nearest location instead of pointing at a generic table.

Display conditions scope the bot so it appears on the contact page, the locations archive, and the footer of every page, while staying silent inside the admin. Logs capture every question with the model used, tokens consumed, and the origin URL, so you can spot which location pages need clearer hours and which questions trip the bot up.

Workflow

From scattered hours fields to one clear answer

1

Map your locations

Tell SleekAI which custom post type holds your locations and which postmeta keys store weekday hours, holiday closures, and the timezone. Mapping takes a couple of minutes per field set and you only do it once.
2

Write the system prompt

A short prompt is enough: answer using the mapped hours data, name the location, mention the next change of state. SleekAI ships a starter prompt for hours bots that you can tweak rather than write from scratch.
3

Scope with display rules

Show the widget on the contact page, locations archive, and footer of every page. Hide it from the admin, the checkout, and any pages where it would distract from a purchase or signup flow.
4

Review logs weekly

Every conversation logs the question, the answer, the model, token count, and the origin URL. Patterns of 'are you open on X' for dates you never anticipated turn into new holiday rows you can add in seconds.

Try it now

Store hours chatbot in action

A shopper checking holiday hours before driving across town.

Comparison

Generic chatbot vs SleekAI for store hours

Generic chatbot

  • Repeats stale hours scraped during last training run
  • Has no idea which location the visitor cares about
  • Cannot read your holiday closures or seasonal hours
  • Charges per conversation no matter how trivial the ask
  • Treats curbside, cafe, and main floor as one schedule

SleekAI chatbot

  • Reads live locations CPT and weekday hours postmeta
  • Knows holiday closures and seasonal overrides per branch
  • Computes 'are you open right now' from the WP timezone
  • Scopes to contact, locations, and footer via display rules
  • Logs every ask with model, tokens, and origin page

Features

What SleekAI gives you for Store Hours

Live weekday and holiday hours

Reads your regular_hours postmeta plus a holiday_closures repeater, so the bot answers 'open on Memorial Day' or 'open at 8am tomorrow' without you maintaining a separate FAQ. Updates the minute you save the page.

Location-aware replies

When you run multiple branches, the bot mentions the location by name, compares two if asked, and uses postmeta address fields to suggest the nearest open store rather than guessing from training data.

Seasonal and exception logic

Summer extended hours, winter early-close, Black Friday timetables and curbside-only windows all live in postmeta the bot can quote, so a single question covers what used to need three fine-print rows on the contact page.

Use cases

How shops use the store hours chatbot

Multi-location retail

A chain with seven branches lets visitors ask 'which of your shops is open right now' and gets a list ranked by closing time, each linked to its location page with address and phone.

Restaurants with split shifts

Lunch service from noon to 2:30pm, dinner from 6pm to 11pm, kitchen closes 30 minutes earlier. The bot quotes the right window for the moment the visitor is asking.

Holiday and event timing

Around Easter, Christmas, and bank holidays the bot intercepts the 'are you open' surge that usually clogs phone lines, freeing staff to handle real customer service.

The bigger picture

Why opening hours deserve a real answer

Opening hours feel boring, but they decide whether a visitor turns into a customer. Someone Googling 'florist open near me at 8pm' is ninety seconds from a purchase, and a vague answer on your homepage sends them to the next result. Static hours tables age the moment you add a holiday, change Sunday timing for the season, or open a second location with different rules.

The cost is invisible because it shows up as people not arriving rather than complaints about the page. A chatbot that reads the same fields your team already maintains keeps the contact page honest, handles the long tail of 'open on Boxing Day' questions, and gives staff back the dozen daily phone calls about timing. It also reveals where your hours communication is unclear.

When a cluster of visitors keeps asking whether the cafe closes with the main floor or earlier, you can clarify the line on the page instead of relying on the bot to paper over it. Treated this way the chatbot is not a gimmick but the most honest interface to a piece of information your customers care about more than almost anything else on the site.

Questions

Common questions about SleekAI for Store Hours

The bot reads whatever you mark as a mapped variable. A typical setup includes the locations custom post type, ACF or Meta Box fields for monday_hours through sunday_hours, a holiday_closures repeater with date and hours pairs, and a timezone field per location. If your data lives in a different structure SleekAI can map it during setup without any code changes.

 

Yes. The bot has access to the server time and the WordPress timezone, plus your hours data, so it can compare the current weekday and time against your regular and holiday schedules. A typical reply names the location, says open or closed, and quotes the next closing or opening time so the visitor knows whether to head over now or wait.

 

Yes. The bot lists locations by name when the visitor is ambiguous and asks which one they care about. If the visitor mentions a city or neighborhood the bot picks the matching branch and answers directly. For chains with many branches you can also scope display rules so the location archive page passes the location id into the conversation.

 

Store a seasonal_hours field with start and end dates plus a hours block, and the bot quotes that period when it overlaps with the question. You can also flag exception days for events like late-night shopping evenings, and the bot will mention the exception unprompted when a visitor asks about that date.

 

Yes. Address, phone, and a Google Maps link can all be mapped variables. The bot quotes them in replies and you can also enable function-call style actions so the bot triggers a 'directions' UI step. Keeping address fields in postmeta means there is one source of truth for both the visitor-facing page and the chatbot.

 

For a hours bot, a small fast model is more than enough. Claude Haiku, GPT-4.1 mini, or Gemini Flash all answer this kind of structured question well at a few hundredths of a cent per turn. You can switch models from the SleekAI settings page without rewriting your prompt, so try a few and pick the one whose tone feels right.

 

Edit the location post the same way you would edit any WordPress page. Save and the bot sees the new hours on the next request. There is no rebuild, no upload, no separate hours dashboard to keep in sync. For larger chains a CSV import plugin or a custom CLI command can update many locations at once.

 

SleekAI is a one-time license for the plugin. The model itself bills you directly through your own OpenAI, Anthropic, Google, or OpenRouter key. For a small to mid-sized store the monthly chatbot bill is usually a few dollars, since hours questions are short and inexpensive to answer. Logs include token counts so you can verify spend.

 

Pricing

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