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Retail store aisle with shoppers · Retail Intelligence CCTV people counting

Retail Intelligence · AI for stores

See what’s missing from sales reports.

Checkout only shows the last step. With a visitor counter from CCTV, know how many pass by, how many enter, when the store peaks, and which zones are alive · per store, per week.

Passer-by
12.480
Walk-in
3.120
Capture rate
25%
Peak hour
19:00

Illustrative scenario, not customer data.

Trusted by malls and retailers in Indonesia

  • Toko Cat Warnago
  • Selfie Time
  • Harmonie Exchange
  • AllRepair
  • Scholl
  • Greet Night Wear
  • JJ Pet House
  • Setiabudi One

Blind spot

Sound familiar?

Storefront

Busy passer-by, quiet walk-in

Plenty of people walk past, few come in. Window display? Door? Hours? Without capture rate, display and campaign fixes stay guesswork.

“Busy out front doesn’t mean busy inside.”

Staffing

Schedules without clear peak hours

Shifts follow habit or “Saturdays are usually busy.” Stores end up overstaffed when quiet and understaffed when busy.

“Staff ready at the right hour beats surprise overtime.”

Promo & campaigns

Promo runs, impact stays fuzzy

Discounts, bundles, live demos out front. Reports say “success” · but walk-in and capture rate vs baseline are rarely measured.

“Without comparing to a normal weekend, success lives only in the caption.”

Zones & layout

Strategic on the plan, quiet in the store

Corners that look premium on the plan are rarely reached. Displays change again and again without knowing which zones are truly active.

“Quiet isn’t always the product. Sometimes the flow is wrong.”

Features

From storefront to checkout

01

Turn passer-by into buyers

People counting at the storefront and inside: measure pass-by vs entries, by hour and day. Test windows and promos with capture rate, not feelings.

  • Passer-by
  • Walk-in
  • Store entry rate
  • Store attention
02

Staff at the right time

Peak hour and daily occupancy help schedule cashiers and floor staff. Staff exclusion keeps counts clean.

  • Peak hour
  • Occupancy
  • Staff exclusion
03

Live zones, better displays

Heatmaps and dwell time by zone show where attention lands and where people only pass through.

  • Zone heatmap
  • Zone dwell time
04

Compare every store

One dashboard for all locations. See top performers, learn their patterns, apply them elsewhere.

  • Multi-store performance
  • Report
Same CCTV with visibel.ai AI people counting overlaysOrdinary store CCTV without visitor analytics
Ordinary CCTVWith visibel.ai
Drag to compare · illustrative scenario, not customer data.

Impact

Today vs with visibel.ai

Improve conversion

TodayConversion from receipt count alone.

With visibel.aiPasser-by → walk-in → checkout. See where shoppers drop off.

Build staff schedules

TodayHabit and guesses about busy days.

With visibel.aiActual peak hour and occupancy by day.

Evaluate promos

TodayRevenue during the promo period only.

With visibel.aiWalk-in lift and capture rate vs baseline.

Layout & display

TodayTrial and error, judged by product sales.

With visibel.aiZone heatmap and dwell time before and after changes.

Compare stores

TodayRevenue across stores with different traffic.

With visibel.aiCapture rate and conversion on the same ruler.

AI on-premise

Cloud is a choice. Not a requirement.

Instead of sending video to the cloud (heavy bandwidth, unstable connections, leak risk), analyze locally. visibel.ai brings AI to your building: edge device or on-site server connected to existing CCTV. Video is processed on-site; only numbers leave.

AI without cloud Use existing CCTV 300+ channel
Explore on-premise tech
visibel.ai 2U rack-mount appliance for on-site AI processing

CCTV video

Stream sent to third-party servers for analysis

Analyzed in your building. Video never leaves

Bandwidth

Continuous video upload from every camera

Only aggregate numbers are sent · lightweight

When internet fails

Analytics are disrupted too

Processing keeps running on-site

Data control

Data sits on vendor infrastructure, often abroad

Stays in your server room · easier PDP alignment

Scale

Cost and network load grow with every camera

300+ channels monitored, still processed locally

Getting started

Start with one problem. Prove it in 15 days.

Start free 15-day trial
  1. 1Day 1–3

    Setup & baseline

    • visibel.ai hardware is installed and connected to your existing CCTV
    • Define priority doors, zones, or tenants
    • Baseline footfall and capture rate start to form
  2. 2Day 4–15

    Data & review

    • Traffic, walk-in, and zone data collected every day
    • Map busy areas and paths visitors skip
    • Review results with the visibel.ai team
  3. 3After trial

    Decide & expand

    • Use data for renewal, layout, and staffing decisions
    • Continue subscription if it fits your needs
    • Expand to more floors, stores, or locations

Client voices

From teams already reading the data

Stories from mall management and store owners who started deciding with data.

  • ★★★★★

    “I now have capture rate data for every tenant for renewal negotiations · not just gut feel.”

    Mall Intelligence client

  • ★★★★★

    “Turns out mall CCTV can show corridor traffic · not just security footage.”

    Mall Intelligence client

  • ★★★★★

    “I can see which zones are busy and which visitors walk past without stopping.”

    Mall Intelligence client

  • ★★★★★

    “Traffic data makes renewal conversations with tenants more objective.”

    Mall Intelligence client

  • ★★★★★

    “Peak walk-in hour is crystal clear · security and cleaning schedules fit better.”

    Mall Intelligence client

  • ★★★★★

    “The 15-day trial was enough to see our mall’s weekly traffic patterns.”

    Mall Intelligence client

  • ★★★★★

    “The dashboard is simple · our leasing team gets tenant capture rate right away.”

    Mall Intelligence client

  • ★★★★★

    “We can compare tenant performance across floors with the same metrics.”

    Mall Intelligence client

  • ★★★★★

    “No need to replace CCTV · just connect to what you already have.”

    Mall Intelligence client

  • ★★★★★

    “Zone heatmaps help us evaluate placements for new tenants.”

    Mall Intelligence client

  • ★★★★★

    “The tech is advanced · I see store traffic without manual counts.”

    Retail Intelligence client

  • ★★★★★

    “We can compare campaign periods against baseline mall traffic.”

    Mall Intelligence client

FAQ

Questions that come up often

Still stuck? Talk to our team.

No. Walk-in and capture rate come from people entering the store on camera · not receipts. POS integration is optional for conversion and transaction value.

If you can view it on a phone or computer, it likely works. Our team helps check door, zone, angle, and lighting coverage.

No. We analyze movement patterns and counts in aggregate · not names or personal identity.

Yes. All locations appear in one dashboard with the same metrics, so store comparisons stay fair.

No. Example figures on this page are for education · not guarantees for any specific store.

Door sensors only count entries. visibel.ai uses existing store CCTV for passer-by, walk-in, capture rate, and zone activity · without extra hardware at every door.

The data is already there. Just read it.

Visitors already came. CCTV already saw them. Start a free trial and see the numbers yourself · no camera swap, no video leaving the building.

Trials are prioritized for sites in Jabodetabek that pass CCTV readiness assessment.

Before you go

Free CCTV readiness checklist

See if your cameras are ready for AI people counting · plus priority review for a 15-day trial.

  • Camera / stream / angle checklist (PDF)
  • What works without replacing CCTV
  • Priority queue for the free 15-day trial
Site type

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Checklist is on the way.

We’ll email/WhatsApp the checklist and follow up if your site looks trial-ready. Prefer to chat now?