// landing-sections-1.jsx — Hero, Problem, Product Intro, Theft, Footfall // ───────────────────────────────────────────────────────────── // HERO // ───────────────────────────────────────────────────────────── function Hero() { return (
{/* Left: text */}
NEW v2.4 · AI Co-pilot is now multilingual (Hindi, Tamil, Telugu)

Your CCTV is
recording.
Make it think.

Camily AI plugs into the cameras you already own and turns them into a real-time co-pilot for your store — catching theft, tracking footfall, and surfacing what to fix today.

Start free 14-day trial ▶ Watch 90-sec demo
{[ { n: '40+', l: 'stores live' }, { n: '₹3.2L', l: 'avg shrinkage saved / yr' }, { n: '< 10 min', l: 'to set up' }, ].map((s, i) => ( {i > 0 && }
{s.n}
{s.l}
 ))}
{/* Right: phone + floating cctv tile + alert card */}
{/* CCTV tile floating top-left */}
{/* Phone */}
{/* Floating alert card */}
Theft alert
3:42 PM · Aisle 3
Item removed from shelf, no scan at counter for 4 min 18 sec.
{/* Background grid */}
); } // ───────────────────────────────────────────────────────────── // PROBLEM // ───────────────────────────────────────────────────────────── function Problem() { const problems = [ { t: 'Theft goes unnoticed', d: 'A few items disappear every week. By month-end, it adds up to lakhs — and nobody knows where the leak is.', k: '~₹3L/yr', kl: 'avg shrinkage' }, { t: 'Staff performance is invisible', d: 'You can’t be in the store 14 hours a day. Idle staff during peak hours = lost sales nobody is measuring.', k: '38%', kl: 'idle time at peaks' }, { t: 'Peak hours are guesswork', d: 'Should you put one cashier or two on a Sunday at 7 PM? Most owners answer with gut feel, not data.', k: '5–7 PM', kl: 'most missed window' }, ]; return (
The problem

Most stores run on
trust, not data.

Indian retail loses an estimated ₹65,000 crore a year to shrinkage, inefficiency, and missed peaks. The cameras to catch it are already on the ceiling — they just aren't looking for anything.
{problems.map((p, i) => (
{String(i+1).padStart(2,'0')} / 03
{p.t}
{p.d}
{p.k}
{p.kl}
))}
); } // ───────────────────────────────────────────────────────────── // PRODUCT INTRO — big editorial moment // ───────────────────────────────────────────────────────────── function ProductIntro() { return (
{/* faint grid */}
The product

Traditional CCTV records.
Camily understands.

We're an AI co-pilot for retail. We watch every camera, every minute — spotting theft, idle staff, shelf gaps, and unhappy customers — and pinging your phone the moment something needs you.

{/* before / after split */}
Before · Yesterday
4TB DVR. Tape gets reviewed only after something goes wrong. By then it's too late.
After · Today
Suspicious behavior · 92% confidence
flagged
Same camera. Now it texts you the moment it sees what matters.
); } // ───────────────────────────────────────────────────────────── // FEATURE 1 — Theft & Loss Prevention // ───────────────────────────────────────────────────────────── function FeatureTheft() { return (
Feature 01 · Theft & loss prevention

Catch the leak
before month-end.

Our models are trained on thousands of hours of Indian retail footage — they know the difference between a customer comparing two SKUs and one quietly pocketing them. You get a notification within seconds, with the exact clip attached.
    {[ ['Real-time alerts', 'Push to your phone the moment behavior is flagged.'], ['Item-not-billed detection', 'Cross-checks pickup events against POS scans at the counter.'], ['Evidence clip + box', 'Every alert ships with 8 sec of footage and a bounding box.'], ['Zero false-alarm fatigue', 'Confidence threshold per store. We learn your shoppers.'], ].map(([t, d], i) => (
  • {t}
    {d}
    • ))}
{/* visual */}
Pocketing detected · 92%
{/* phone overlapping */}
); } // ───────────────────────────────────────────────────────────── // FEATURE 2 — Footfall & Peak Hours // ───────────────────────────────────────────────────────────── function FeatureFootfall() { return (
{/* visual on left */}
{/* floating callout */}
Peak detected
6 PM – 9 PM
Sunday is busiest · +42%
Visitors today
124
↑ 16%
Feature 02 · Footfall & peak hours

Stop staffing
by gut feel.

Camily counts every visitor, separates new from returning, and learns your store's rhythm. So you know exactly when to add a cashier — and when to send someone home.
{[ ['Live visitor count', 'Updated every minute. Compare today vs last 7 days.'], ['Heatmaps', 'See which aisles get traffic and which get ignored.'], ['New vs returning', 'Built from anonymized re-identification. No PII stored.'], ['Sunday vs weekday', 'Every chart, every metric, sliced by day-of-week.'], ].map(([t, d], i) => (
{t}
{d}
))}
); } Object.assign(window, { Hero, Problem, ProductIntro, FeatureTheft, FeatureFootfall });