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LoaderHouse

Where every load matters.

The on-demand, real-time logistics marketplace for India's intra-city goods movement.

Investor Pitch Deck · 2026

loaderhouse.com

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THE PROBLEM

India moves goods the way it moved them 20 years ago

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▪ Fragmented supply. Intra-city trucking and last-mile goods movement is dominated by unorganized, phone-and-word-of-mouth local operators — no standard pricing, no accountability.

▪ No price transparency. Customers negotiate fares blind, with no fare estimate up front and no receipts.

▪ Zero visibility in transit. Once a load leaves, the sender has no live tracking, no ETA, and no proof the goods arrived intact.

▪ Cash-only, trust-only. Payment, damage disputes, and driver reliability all rest on informal trust — which breaks down at any scale.

▪ Drivers are underemployed, not under-supplied. Local drivers/three-wheelers/mini-trucks sit idle for lack of a demand-matching layer, not lack of vehicles.

The result

▪ A multi-billion-dollar informal goods-movement market with no organized, technology-run alternative outside a handful of metro-first players.

▪ The same structural gap Uber/Ola solved for passenger mobility and Porter is solving for goods — still wide open in most of India's intra-city corridors.

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THE SOLUTION

A verified, two-sided marketplace that runs the whole trip

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Instant Fare & Booking

Distance + traffic-aware fare estimate before the customer commits — no negotiation.

Live Driver Matching

Geospatial dispatch expands search radius automatically until a verified nearby driver accepts.

Real-Time Tracking

Customer watches the driver move on the map, pickup-to-drop, with live ETA.

Proof of Delivery

Photo + OTP captured at pickup and delivery — a verifiable record for every load.

In-App Wallet & Ledger

Driver earnings, platform commission, and payouts run through a double-entry ledger, not a spreadsheet.

Two Purpose-Built Apps

A booking app for customers, a dispatch/earnings app for drivers — each app does one job well.

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PRODUCT

One marketplace, two purpose-built apps

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LoaderHouse

Customer App

▪ Book by vehicle type: bike, three-wheeler, Tata Ace, 8/10/14/17-ft trucks

▪ Instant fare estimate, saved addresses, promo codes

▪ Live driver tracking + in-app chat with the assigned driver

▪ Delivery OTP + photo confirmation, booking history & invoices

▪ Wallet, referrals, ratings

LoaderHouse Partner

Driver / Partner App

▪ KYC onboarding: license, RC, insurance, Aadhaar, PAN, pollution cert

▪ Go online/offline; receive nearby load requests with accept/reject countdown

▪ Turn-by-turn navigation to pickup & drop

▪ Update trip status, capture pickup/delivery proof

▪ Earnings dashboard, wallet, withdrawal requests

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HOW IT WORKS

From booking to delivery, in five steps

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1

Book

Customer sets pickup/drop, picks a vehicle, gets an instant fare.

2

Match

Expanding-radius dispatch (1→13 km) finds the nearest verified, online driver.

3

Track

Live location + ETA stream to the customer over a real-time socket connection.

4

Deliver

Driver captures pickup & delivery photos; delivery requires the customer's OTP.

5

Settle

Commission, driver earnings, and platform ledger post automatically; both sides rate the trip.

Under the hood: PostGIS geospatial matching, Socket.IO real-time events, FCM push, and a double-entry ledger (not a spreadsheet) reconciling every rupee of commission, driver earnings, and tax.

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MARKET OPPORTUNITY

A large, fragmented market with no organized default

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▪ Intra-city goods movement is India's largest logistics segment by trip volume, and the least organized — dominated by informal operators, not platforms.

▪ Comparable category leaders (Porter, Uber-for-goods models) have proven customers will pay for reliability, tracking, and price transparency over a phone-call broker.

▪ Underlying demand is structural, not seasonal: e-commerce reverse logistics, small-business relocation, retail restocking, and household moving all route through the same vehicle classes LoaderHouse already serves.

▪ Supply is not the constraint. Three-wheelers, mini-trucks, and bikes already exist in every Indian city — the missing layer is a trusted matching and settlement platform, which is what LoaderHouse is.

Where we play first

▪ Delhi NCR as the initial density market — own one metro completely before expanding.

▪ Vehicle classes already live: Bike, Three-Wheeler, Tata Ace, 8/10/14/17-ft trucks.

▪ Expansion-ready: service-zone infrastructure already supports onboarding new cities without a platform rebuild.

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TRACTION — LIVE FROM OUR DATABASE

Real usage, on a live production platform

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896

Total bookings placed

270

Deliveries completed

₹84,222

GMV (delivered bookings)

₹312

Average order value

735

Registered customers

1,181

Registered drivers

504

KYC-verified drivers

4.9★

Avg. driver rating (79 ratings)

Live since 2026-01-17 · operating in Delhi NCR (additional pilot zones provisioned) · cash-settled today, online payments built and merging next

This is real data pulled read-only from our production database — not projected numbers. We're showing it because the next section, honestly, matters more than the vanity metrics.

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TRACTION — GROWTH TREND

Booking volume is compounding month over month

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Since Jan 2026

896

total bookings

7.7×

growth, Jan→Jul�monthly bookings

June's driver-recruitment push (+291 drivers in one month) is the clearest lever we have on supply — proven repeatable, not theoretical.

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WHERE WE ARE HONEST WITH OURSELVES

The one number that matters more than growth: completion

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270 delivered vs. 626 cancelled out of 896 total bookings. This is the single biggest lever in the business — and we know exactly why it's happening.

Why

▪ Thin driver density: only 40 of 1,181 registered drivers are online at any given moment — the classic 'no-drivers-found' failure mode of an early two-sided marketplace.

▪ Verification lag: 504 of 1,181 drivers are KYC-verified; verification throughput is the gate on usable supply.

The Fix — already underway

▪ Merge the payment-gateway branch: online payments + refunds, live and tested, waiting on merge.

▪ Fix the dispatch-acceptance race conditions already identified and reproduced in our own QA.

▪ Background-location reliability layer (foreground service + heartbeat monitor + OEM battery onboarding) already built for driver-app kill/reconnect scenarios.

▪ Driver KYC verification velocity as the #1 supply-side operating metric.

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BUSINESS MODEL & UNIT ECONOMICS

Commission marketplace today, multiple monetization levers next

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20%

Platform take rate (commission)

₹312

Average order value

₹5,739

Commission earned to date

₹58,678

Paid out to drivers to date

Revenue levers already designed into the schema, not new architecture

Revenue lever

Tier

Who pays

Why it's fast

Zone & time-based dynamic pricing

Quick win

Customer

Surge field already exists, engine is the missing piece

Tiered commission by vehicle/driver tier

Quick win

Driver

Retention lever for top-rated drivers

Cargo protection / insurance add-on

Quick win

Customer

Reuses existing proof-of-condition photo capture

Customer referral program

Quick win

Platform (CAC)

Referral engine already live for drivers, extend to customers

B2B / corporate accounts with invoicing

Medium-term

B2B

Largest single structural upside vs. one-off consumer bookings

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12-MONTH ROADMAP

10 → 100 bookings/day in 12 months (target, not actuals)

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M0–3

10 → 20/day

Foundation & reliability

Merge payments, fix dispatch races, KYC velocity, first promo tests

M4–6

20 → 40/day

Demand loops & B2B

Customer referral live, B2B manual-booking channel, Socket.IO scale prep

M7–9

40 → 70/day

Retention & expansion

Zone expansion, rule-based dynamic pricing, tiered commission

M10–12

70 → 100/day

Unit economics & raise

Contribution margin optimization, investor data room, expansion blueprint

Two numbers gate every phase: driver-found rate (supply density) and first-booking activation rate (demand quality). Reliability work is a prerequisite for spend, not a parallel workstream — growth on a broken dispatch just burns CAC on failed bookings.

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TECHNOLOGY MOAT — PLANNED, NOT YET BUILT

An AI-native roadmap built on data we already collect

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ROADMAP — NOT YET SHIPPED

AI-verified KYC onboarding

OCR + face-match on the 7 driver document types already uploaded — attacks the #1 supply bottleneck: verification velocity.

ML-based dispatch scoring

Predict acceptance probability from driver rating/history instead of matching on distance alone — directly improves the no-drivers rate.

Fraud & anomaly detection

GPS-spoofing, promo abuse, and fake-booking detection on a cash-heavy marketplace — a trust story diligence will ask for.

Support automation

LLM triage over our existing support-ticket and in-app chat data — cuts response time without growing the ops headcount linearly.

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POSITIONING

Why LoaderHouse, why now

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▪ Live, not a prototype. Real customers, real drivers, real cash GMV moving through production infrastructure today — not a pitch-deck simulation.

▪ A real technical foundation. Geospatial dispatch, real-time Socket.IO tracking, double-entry ledger accounting, and an already-built (unmerged) payments layer — the hard infrastructure work is largely done.

▪ Capital-efficient to this point. ₹84,222 in delivered GMV and 1,181 driver signups reached before any institutional capital — the team ships.

▪ Brutally honest about the gap. We know our completion rate is the #1 problem, and we know exactly which three engineering fixes move it — that's a fundable roadmap, not a hand-wave.

▪ AI-native from here forward. KYC verification, dispatch scoring, and fraud detection are natural extensions of data we already collect — not a bolted-on chatbot.

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WHO'S BUILDING THIS

Team

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PB

Puneet Behl

Founder & CEO

Built the entire platform: backend, both apps, and the admin panel.

[ Add core team / advisors here ]

▪ Engineering / ops lead

▪ Growth / B2B sales lead

▪ Advisors (logistics, fundraising)

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THE ASK

Raising ₹10 Cr at a ₹100 Cr valuation

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This prices trajectory, not trailing revenue — a 10× booking-volume plan over 12 months, backed by a working three-app platform already processing real transactions.

Why the raise is sized this way

▪ 35% Demand & CAC — consumer promos, referral rewards, B2B sales motion

▪ 20% Supply acquisition — driver onboarding & availability incentives

▪ 25% Ops & support — city ops, driver support, B2B account management

▪ 15% Technology & scale — reliability, realtime scale, AI roadmap

▪ 5% Reserve

Best raised at/after M6–9

Once Phase 2–3 cohort data proves repeatable CAC and improving retention — flexible on timing, but that's when terms are best.

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Where every load matters.

Let's build India's organized goods-movement layer, together.

loaderhouse.com

Thank you.