SolutionAI marketing for event equipment rental
A concept for an AI marketing assistant for an LED screen rental business. It finds the audiences most likely to rent, drafts campaigns for a person to approve, qualifies every inquiry and shows which channels lead to bookings.
Inquiries this morning
Wedding planners and couples convert 3.5x better on LINE.
Open the analyticsSample output from the live demo below. The business and inquiries are fictional, and the score and insight are produced by the same logic you can try.
The context
Rental businesses win work by being found before the event is planned and by answering fast once someone asks. The AI opportunity is to aim marketing at the right people and make every inquiry quicker to quote.
Screens are rented for weddings, concerts, exhibitions, corporate events and promotions, so demand rises and falls with each season's event calendar.
In Thailand many customers message businesses directly, often on LINE or Facebook, so inquiries tend to be short chats rather than forms.
Date, venue, audience size, indoor or outdoor, and screen size decide what can be offered. Each missing detail adds a round of questions.
Inquiries hold names and contact details. The Personal Data Protection Act B.E. 2562 (2019), where it applies, shapes how leads are collected, used and kept.
General background, not market research. Channels, volumes, prices and audiences will come from the business during discovery.
What is the current issue?
The issues under each area are working hypotheses to test with the business, not findings.
Find who is most likely to rent, and when
AI opportunity. Score each customer group on event frequency, budget fit, season and reach, and suggest where to find them.
See the audience screenConcepts, copy and a calendar for each audience
AI opportunity. Draft concepts, headlines, ad copy and a four-week calendar in Thai or English, for a person to edit and approve.
See the campaign builderCapture inquiries and route the promising ones
AI opportunity. Extract the key details, score each inquiry, draft the follow-up question and move it through a pipeline.
See the lead inboxWhich channels and campaigns bring bookings
AI opportunity. One funnel from reach to booking, cost per qualified lead by channel, and insights in plain language.
See the analytics screenHow can AI help?
Each workflow starts from work the business already does. Scoring and extraction do the reading, an AI agent drafts, and a named person approves before anything reaches a customer.
The marketing lead sees which customer groups to aim at this season, and why each one ranks where it does.
Chooses what matters this season: event frequency, budget fit, season and reach.
Past inquiries and bookings, grouped by customer type.
Each segment gets a fit score, with the inputs behind it shown.
Chooses two or three segments to target this month.
Persona, channels and message hook per segment, ready for campaigns.
Tools the assistant calls
Illustrative function names for a pilot design.
Today
Aim at whoever followed the page last, and plan busy seasons from memory.
With AI
A ranked list of who to target this season, with the reasoning visible.
The intelligence layer
The four areas share one data layer and one set of AI services, so a lead found by a campaign is the same lead that is scored, followed up and counted in the numbers.
Where inquiries and numbers already live
Joined, cleaned, consent recorded
Models score and extract, the agent drafts
Each role sees its own view
What would the user see?
The opening screen is the week at a glance: inquiries scored as they arrive, the numbers that matter, and an assistant that answers only from the data on screen.
Marketing command centreSample LED RentalsPrototypeScores and answers come from fixed rules over synthetic data, not from a production language model. The business, inquiries and figures are fictional.
Drafted follow-up, not sentThank you, that is everything we need for a quote. We will check availability for 14 February and send options shortly.
Open in the lead inbox7 more sample inquiries queued. The feed pauses when it is off screen.
Decision support only. Nothing is posted, sent or spent from this console without a person approving it.
The weekly numbers, cost per qualified lead and where budget goes.
Audiences, campaign drafts and the approval queue.
Scored inquiries, drafted follow-ups and the pipeline.
Approved concepts and the four-week calendar to produce.
Key screens
Each screen works on its own, with its own controls. Every business, inquiry, campaign and number here is synthetic and only illustrates the idea.
Move a slider or change the season and watch the ranking recompute, then open a segment's persona.
Weight of each criterion
Fit score out of 100. Arrows show movement since your last change.
Fictional persona
Wants
Worries about
Typical ask: Several sizes per month, often with a technician on site
Books: Usually one to four weeks before the event (hypothesis)
Recommended channels
Message hook“One supplier for every stage size, quoted in one message.”
Fit is the weighted average of four synthetic scores per segment, using your weights. In a pilot the scores would come from the business's own inquiry and booking history.
Choose the campaign options and compose. Edit any draft, approve each block, then add it to the scheduling queue.
Templated draftWedding planners and couples, LINE, English, variation 1
Previews, mock-ups only
Your story on the big screen, set up before the first guest arrives. Send us your event date, venue and guest count, and we will reply with screen sizes and a quote. Just send a message, we are happy to help.
Ad card shown for comparison. Social ad mock, not connected to any platform.
Chat-style mock, not connected to LINE.
Concept: Your story on the big screen. Slideshow and live video on a backdrop wall.
Week 1
Week 2
Week 3
Week 4
Main channel LINE on Tuesdays, supporting channel Instagram on Fridays, chosen from the segment's strongest channels. Items marked “to be filmed” need real footage.
Drafts are built from fixed templates, so the same brief always gives the same text. Previews are mock-ups only: nothing connects to LINE, Meta, Google or any email service. Claims, prices and offers must be checked against what the business actually provides.
Pick an inquiry to see what was extracted and why it scored as it did. Override the score, assign an owner and move it along the pipeline.
สวัสดีค่ะ สนใจเช่าจอ LED สำหรับงานสัมมนาบริษัท วันที่ 22 มีนาคม ที่พัทยา ประมาณ 150 คน ขอใบเสนอราคาด้วยค่ะExtracted details
Lead score
Hot 70 and above, warm 42 to 69, cold below 42.
Follow-up for 2 missing details
Templated draftNothing is sent from this demo. Marking a warm or hot new lead as sent moves it to Qualified.
New 7
Qualified 2
Quote sent 1
Booked 0
No leads
Lost 0
No leads
Extraction uses fixed patterns for English and Thai, and the score adds points for each key detail and the budget. A pilot would use a language model with the same fields and the same human check. Replies are drafts and are never sent from this demo.
Change the date range, a channel or a segment. The funnel, table and insights all recompute.
6.8% of clicks became qualified inquiries on LINE, against 2.0% on their other channels. Worth testing more LINE budget for this segment.
Compare clicks-to-qualified rate per segment and channel; report when one channel is 1.5x or more above the segment's other channels.
That is 4.1x the cheapest channel, LINE at ฿235. The average across channels is ฿433.
Rank channels with three or more qualified leads by spend divided by qualified leads.
71 of 184 in the last 28 days. This is the weakest step after the click, so it is the first place to look.
Find the lowest stage-to-stage conversion from inquiry onwards.
708 inquiries against 608, with qualified leads up from 249 to 295.
Compare the selected range with the period of the same length just before it.
| Channel | Spend | Inquiries | Qualified | Per qualified lead |
|---|---|---|---|---|
| LINE | ฿22,526 | 228 | 96 | ฿235 |
| ฿3,348 | 28 | 13 | ฿258 | |
| Google Search | ฿44,308 | 249 | 107 | ฿414 |
| ฿39,328 | 157 | 60 | ฿655 | |
| ฿18,261 | 46 | 19 | ฿961 |
28 days agoYesterday
Numbers are generated from a fixed seed, so they are the same on every visit. Insights are simple rules over those numbers, and each one shows its rule. Real figures would come from the ad platforms and the pipeline.
What comes next?
This page is the concept and working demo. Pilot scope, data, budget and timeline are agreed only after the business has seen it.
The four focus areas this solution covers.
This page, on synthetic data.
Adjust as more information arrives.
Validate the problem, data and channels.
Scope, data, integrations, criteria, budget, timeline.
Show the idea working, so the business reacts to something concrete.
Output: a demo ready for a walkthrough.
One or two channels and real inquiries, alongside today's process.
Output: a pilot running alongside today's process.
All channels, campaigns and the sales pipeline on one platform, run and supported.
Output: every channel on one platform.
Built for marketing
A business owner will ask what the AI can publish, where the numbers come from and how customer data is handled. The design answers that from the start. The list on the right is what we need before a pilot.
Scores, drafts and insights come from templates and simple rules over synthetic data, not from a production language model.
Every business, inquiry, campaign and number is fictional. Nothing here describes a real client, competitor or market.
Nothing is published, sent or spent until a person has checked it and approved it.
Leads are captured with consent and used only for the inquiry and the follow-up the person agreed to.
Review the demo with your team.Tell us what a pilot must prove.
All businesses, names, inquiries, campaigns and figures in this demo are fictional and synthetic. This page is a demonstration, not a live system, and is not connected to any ad platform or messaging service.