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
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.
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.
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
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.
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.
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.
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.
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.
BUSINESS MODEL & UNIT ECONOMICS
Commission marketplace today, multiple monetization levers next
LOADERHOUSE — INVESTOR PITCH DECK
10
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 |
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.
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.
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.
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)
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.
Where every load matters.
Let's build India's organized goods-movement layer, together.
loaderhouse.com
Thank you.