✨ 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 Lost and Found: Match Items in Chat

SleekAI turns lost-and-found into a conversation. Guests describe what they lost, the bot searches your found-items records for matches, and notifies them when something close turns up. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.

♾️ Lifetime License available

SleekAI chatbot for Lost and Found

Found items meet their owners faster

Lost and found is one of those workflows that lives in a notebook behind reception, a shoebox of unclaimed items, and a tired team that fields the same questions on every shift. A chat-based intake brings structure without forcing staff into a heavy inventory app. A guest types I left a brown leather wallet in conference room 4 yesterday afternoon, the bot searches your found-items records, and replies with the two closest matches plus next steps.

SleekAI reads your real WordPress content. Found items live in a found_item custom post type with fields for description, location_found, date_found, category, color, and a photo. Lost-item reports go into a parallel lost_item CPT or are matched immediately against the found inventory. The bot does the semantic matching - it knows that 'brown leather wallet' is the same kind of thing as a 'tan billfold' even if the words don't match exactly.

When new items get added to found inventory, the bot can re-check open lost-item reports and notify owners by email. Display conditions surface the bot on hotel and venue guest pages, scoped per property. Conversation logs become the lost-and-found ledger, which is useful when a guest comes back a week later asking what happened to their report.

Workflow

From a vague description to the right shelf

1

Model your inventory

Store found items in a CPT with description, location, date, category, color, and photo. The bot reads these on every match request. For larger inventories, switch to embedding-based search via a Tool Use endpoint.
2

Write the matching prompt

The system prompt scores candidates on category, color, location, time, and distinguishing details. House style keeps replies short and includes confidence cues so guests know whether a match is strong or worth confirming.
3

Wire return logistics

Expose endpoints for shipping requests, identity confirmation, and in-person pickup scheduling. The bot calls them via Tool Use when a guest confirms a match. Reception sees a clean workflow board instead of an email pile.
4

Watch open reports

A small hook on found_item save triggers re-matching against open lost-item reports. Strong matches notify the original guest by email. Rate limiting prevents spam from weak hits, keeping notification quality high.

Try it now

Lost and found chatbot in action

A hotel guest two days after checkout realises they left something behind.

Comparison

Generic chatbot vs SleekAI for lost and found

Generic chatbot

  • Cannot search your actual found-items inventory
  • No semantic matching ('brown wallet' vs 'tan billfold')
  • Cannot notify guests when matching items come in later
  • No write path for shipping requests or claim records
  • Charges per resolved conversation regardless of outcome

SleekAI chatbot

  • Searches your found-items CPT with semantic matching
  • Records open lost-item reports for ongoing matching
  • Notifies guests by email when a likely match arrives
  • Handles shipping requests and return logistics
  • Bring your own API key, no per-conversation fee

Features

What SleekAI gives you for Lost and Found

Semantic matching

Reads description, color, location, and category from your found_item CPT. The bot matches loosely worded descriptions to inventory entries that use different vocabulary, surfacing genuine candidates instead of demanding exact-string searches.

Open-report watching

Lost-item reports stay open against the inventory. When new items arrive, the bot rechecks open reports and emails guests if a strong match shows up, turning two-step communication into one-step magic.

Return logistics built in

The bot collects shipping address, payment, and item confirmation through chat, writes a return job to your operations queue, and emails reception. Guests get their items back without the awkward email back-and-forth that usually follows.

Use cases

How venues use SleekAI

Hotels

Guests realise they left something behind after checkout, often days later. The bot searches inventory, confirms a match by photo, and coordinates shipping without forcing the housekeeping or front-office team to chase emails.

Conferences and venues

Multi-day events accumulate hundreds of lost items by Sunday night. A chatbot lets attendees search inventory remotely and reclaim items by post, dramatically cutting the unclaimed-items pile and the cost of disposing of it.

Schools and campuses

Students and parents inquire about uniform pieces, water bottles, and devices left behind. The bot answers within seconds, freeing the reception staff who currently field these calls multiple times per day.

The bigger picture

Why a lost-and-found bot actually pays for itself

Lost and found gets neglected in most venues because it never feels urgent. Each individual case is small, the reception team handles it on the side, and the unclaimed-items shelf grows quietly until someone clears it twice a year. The aggregate cost is real, though.

A mid-size hotel handles thirty to fifty inquiries a month, each consuming five to ten minutes of staff time. That's a working week per year on a workflow no one is proud of. A bot cuts the time per inquiry to seconds.

Guests get answers any hour, including late-night when staff coverage thins. The bot's matching is often better than a tired receptionist's manual search through a notebook, because it scores on multiple attributes consistently and remembers every item in inventory. The customer-experience win is bigger than the labour saving.

Guests who get their things back become loyal in a way that no marketing campaign produces. Conferences and venues that recover laptops and passports earn repeat bookings on a single anecdote. Hotels that ship found items proactively get reviews that mention the gesture for years.

The downstream benefit of a properly tended lost-and-found process is large. The cost of building one used to be high enough that most venues didn't bother. A chatbot brings the cost down to a one-time setup and per-conversation pennies, which is where the math finally starts working in favour of doing this properly.

Questions

Common questions about SleekAI for Lost and Found

The system prompt instructs the model to compare the user's description to each found-item record in inventory, scoring on category, color, location, time window, and any distinguishing features. The bot returns the top 2-3 candidates with confidence cues. For small inventories (under a few hundred items) it does this in-prompt. Larger inventories use an embedding-based vector search via Tool Use.

 

Yes. The bot collects a description, asks the guest to confirm any distinguishing details (initials, photo of the inside, contents), then coordinates shipping. Identity verification can be light (matching contents to record) or strict (photo ID match) depending on item value. High-value items can be flagged to require in-person pickup.

 

The bot can flag items that have been in inventory past a retention threshold (typically 30/60/90 days) and surface them in an admin view for disposal or donation. Some venues use the bot to publish anonymised photos of unclaimed items publicly, so guests realise after the fact and reach out before the items leave inventory.

 

Open lost-item reports are stored in WordPress. When a new found_item is added, a small post-save hook calls the bot's matching endpoint against open reports. If a strong match is found, the bot triggers an email to the lost-item owner with the match summary and a link to confirm. Notifications are rate-limited so guests aren't spammed with weak matches.

 

Yes. Items flagged as high-value (laptops, jewellery, passports) require stricter verification. The bot collects more confirmation details, requires identity proof for shipping, and routes the return through a human approver. The model is also prompted to recognise high-value categories from the description even if the inventory entry isn't pre-tagged.

 

SleekAI is a one-time WordPress plugin license. You bring your own OpenAI, Anthropic, Google, or OpenRouter API key. A typical lost-and-found conversation runs a fraction of a cent in API costs, well below the cost of staff time spent on the same query. Notifications about late matches run pennies even at high volume.

 

Yes. The chat widget supports image attachments. Guests can upload a photo of similar items they own (for example, a photo of an identical wallet they bought) to help match, and the bot can compare against photos in the found_item CPT. Multimodal models score appearance similarity reasonably well for common categories.

 

If your PMS or front-office system exposes an API, the bot can post return jobs directly. If not, the bot writes to a custom return-jobs CPT in WordPress and emails reception. The CPT becomes a small workflow board (pending, packed, shipped, received), and reception updates status as they handle each return.

 

Pricing

More than 1000+
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EUR

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  • 3 websites
  • 1 year of updates
  • 1 year of support

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EUR

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  • Unlimited websites
  • 1 year of updates
  • 1 year of support

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