Completed deliveries with digital POD
Monthly delivery curve with complete POD (photo + signature + GPS + recipient). No paper.
Three portals (admin, driver mobile, client). Digital POD with photo, signature, voice and GPS. Routes with driver+vehicle assignment. Multi-warehouse inventory. Shopify, Make and AI Assistant integrated into the core.
Logistics Hub · Admin
Good afternoon, Admin
8 pending orders · 4 delivered today · Last sync 2s ago
21
Active
12
Pending
3
In Transit
2
Delivered Today
3
En route
1
Available Drivers
Attention required: 6 orders
Live map · Mapbox
5 pins · tick #0
1
digital POD
photo, signature and time at delivery
4
states per shipment
en route · delivered · refused · rescheduled
0
paper
on the driver’s route
L2
the ETA
updated, with notice
LIVE DATA
What your dispatcher sees every morning: deliveries per day, POD workflow, on-time per driver and load per zone × hour.
Monthly delivery curve with complete POD (photo + signature + GPS + recipient). No paper.
Each order enters a workflow that assigns a driver, moves the status and captures proof of delivery; exceptions go to dispatch.
Delivery density by geographic zone and time slot. Detect bottlenecks before the next shift.
On-time delivery rate per driver this week. Juan M. leading on the North–East route.
94% on-time this week · 372 deliveries
WHERE ORDER STARTS
In an operation with its own fleet, proof of delivery, claims, inventory, routes and online orders are already handled with paper, spreadsheets and email. The system turns them into an end-to-end process, with evidence for every delivery and a single source of truth for stock.
Today the delivery is signed on paper, and paper gets wet, lost or illegible. When the customer complains days later, the proof is not there. In the system, the driver captures the signature on the device and it is stored with the order.
Today, faced with an “I didn’t receive my order”, it is the driver’s word against reception’s, and the company absorbs the replacement. In the system, every delivery stores a photo, a location and a time, and the claim is answered with that evidence.
Today inventory lives in a spreadsheet separate from the order system, and sales can sell stock the warehouse already shipped. In the system, every order reserves stock when it is created, and warehouse, sales and purchasing read the same number.
Today the dispatcher builds routes every morning with an address sheet, Google Maps and notes stuck to the monitor. In the system, the AI proposes routes from the day’s orders, drivers and vehicles, and the dispatcher adjusts and approves them.
Today every online sale arrives by email and someone copies products, looks up the SKU, checks stock and creates the order by hand. In the system, the order comes in through the integration with its SKU validated, and only exceptions go to a person.
LIVE SYSTEM
A navigable version of the system, with fictional data: click, filter and open each record. These are the four modules your operation will use every day.
Active, Pending, In Transit, Delivered, On Route, Available Drivers. Attentions inbox with problematic orders. Mapbox with vehicle pins. Auto-refresh every 3 seconds.
↓ Interactive · demo data
Logistics Hub · Admin
Good afternoon, Admin
8 pending orders · 4 delivered today · Last sync 2s ago
21
Active
12
Pending
3
In Transit
2
Delivered Today
3
En route
1
Available Drivers
Attention required: 6 orders
Live map · Mapbox
5 pins · tick #0
Daily vehicle selection, day route with ordered stops, single "Start Delivery" button that moves the entire route to in_transit. POD with multiple compressed photos + digital signature + voice note + mandatory "Received By".
↓ Interactive · demo data
Driver Portal
Juan Martínez
VAN-04 · 6 stops · North zone → East zone
Today’s route
2 of 6 delivered · in transit
Order list with status pill per state (pending → assigned → picked → on_route → in_transit → delivered). Click on an order: visual timeline + POD gallery (photos, signature, GPS, recipient, timestamp).
↓ Interactive · demo data
Orders · Tracking pipeline
Statuses: pending → assigned → picked → on_route → in_transit → delivered
Click an order to see its timeline and proof-of-delivery gallery
| Order # | Customer | Items / Weight | Status | ETA |
|---|---|---|---|---|
| LH-2851 | Mercado Muestra North zone · Main Street | 8 items 12.4 kg | Pending | 14:20 |
| LH-2850 | Estudio Demo North zone · Park Avenue | 4 items 6.1 kg | Assigned | 13:45 |
| LH-2849 | Latitud Imports East zone · Industrial Avenue | 14 items 22.8 kg | Picked | 13:10 |
| LH-2848 | Grupo Latitud East zone · North Boulevard | 6 items 9.0 kg | En route | 12:30 |
| LH-2847 | Despensa Modelo East zone · Harbor Street | 12 items 18.5 kg | In Transit | 11:50 |
| LH-2846 | Cocina Ejemplo East zone · Central Street | 10 items 15.2 kg | Delivered | 10:12 |
Tabs Central / East / Pickup-Only. Table per SKU with Stock, Outflows, Inflows, Available, In Transit and Status. Low Stock alerts at 50% of minimum. Client "Despensa Modelo" with movement history per product.
↓ Interactive · demo data
Multi-warehouse inventory
Customer: Despensa Modelo · Auto-replenish via pickup PO
456
Total Stock
354
Total Sales
0
Low Stock
Click a product to see its movement history
| Product | Stock | Outbound | Inbound | Available | In Transit | Status |
|---|---|---|---|---|---|---|
Sourdough loaf PAN-001 | 142 | 86 | 120 | 130 | 12 | Active |
Oat loaf PAN-014 | 24 | 60 | 50 | 24 | 0 | Active |
Cocoa brownie BRW-008 | 218 | 142 | 280 | 200 | 18 | Active |
Oat cookie GAL-021 | 72 | 48 | 80 | 72 | 0 | Active |
Olive bread PAN-007 | 0 | 18 | 14 | 0 | 6 | Out |
WHAT THE SYSTEM DOES
The critical modules for the sector are already solved and adapt to your process.
Multiple photos compressed to ≤1280px JPEG 0.7, digital signature, optional voice notes and mandatory "Received By". GPS and timestamp at the moment of delivery. Legally defensible.
One button moves the route and all its orders to in_transit. The driver does not touch the system 40 times a day: they start and deliver.
Driver + vehicle + date assignment. Same date + same driver = consolidated stops. Start at the client warehouse (single) or default (multi-client).
Stock per product and warehouse. Columns for Outflows, Inflows, Available, In Transit and proposals. Restocking alerts at 50% of minimum.
Orders from Shopify enter automatically. Matching: exact SKU → exact name → fuzzy Jaccard ≥0.6 → AI fallback. Zero manual entry.
Chat connected to orders, routes, inventory, drivers and clients. Ask "which deliveries expire tomorrow in the west zone?" and get a natural language answer.
Pickup purchase orders automatically restock inventory when marked as delivered. Multi-warehouse from day one.
One driver can operate multiple vehicles; one vehicle can be driven by multiple drivers per shift. GPS telemetry per driver and per vehicle.
Every status change, assignment, stop edit or POD is logged with user, timestamp and diff. Zero "someone touched something and I don't know who".
CONNECTED STACK
We connect the tools you already use and the ones worth adopting.
Route reasoning, AI product matching and operator AI Assistant
Orders from Shopify enter the system automatically with 4-step product matching
Live map with driver pins, optimized routes and address geocoding
Bidirectional webhooks with Shopify, ERPs and legacy TMS systems
Database, Deno Edge Functions for webhooks, POD storage and Realtime for tracking
Customer notifications: order en route, about to arrive, delivered with photo and signature
LIVE SYSTEM · Grupo Latitud
A demo company’s system, with its modules, agents and rules at work. Follow the guide or browse freely.
Modules in this tour
Boosty Standard for Operating with AISimulated AI · demo data
FEATURED CASE
A logistics operator with its own fleet delivered with paper manifests and pen signatures, and "I never received it" disputes had no defense. We built the three portals — administration, driver on mobile and client: delivery closes with photo, signature, GPS and who received it, each shipment’s status travels to the client without anyone typing it, and when the ETA changes the system updates it and reports it. The exception — wrong address, refusal — goes up to a person with the case already assembled.
1
digital proof of delivery: photo, signature, GPS and receiver
3
portals: administration, driver and client
4
states per shipment: en route, delivered, refused, rescheduled
B-O-O-S-T-Y METHODOLOGY
This is how an end-to-end implementation is chained: every bar is a concrete task, with the role that owns it, and the marker runs through the sequence. The calendar is set in the assessment, with your team and your timing.
F1
Assessment
F2
Architecture
F3
Build
F4
Adoption
It works with any ERP that exposes a REST API. Shopify is native (4-step product matching included), but we have also connected SAP Business One, Odoo, NetSuite and proprietary TMS systems via Make/n8n. The portals and POD layer lives on top of what you already have.
Yes. The POD captures digital signature, photos with timestamp, exact GPS at the moment of delivery, mandatory "Received By" field and optionally a voice note. In the USA and most LATAM jurisdictions this meets the evidentiary requirements for accepted delivery, especially for B2B commercial disputes.
Bulk XLSX/CSV migration with integrity validation (client ↔ address ↔ product ↔ inventory). If you have prior digital POD history, we import it. If your history is on paper, we start clean from the go-live date. Migration runs in parallel with implementation and is not a blocker.
Yes. The driver can start their route, mark stops and capture POD (compressed photos, signature, voice note, Received By) without a connection. Everything stays in a local queue and syncs as soon as the device regains signal. Critical for rural areas or commercial basements.
Optimized to the limit: POD photos are compressed to ≤1280px on the longest side at JPEG quality 0.7 before uploading. A full day of 40 deliveries with 3 photos each typically consumes 60–90 MB. Works on Latin American prepaid plans without issues.
Yes, multi-warehouse from day one. Each product has stock per warehouse with separate columns for Outflows, Inflows, Available and In Transit. Pickup POs automatically restock the destination warehouse when marked as delivered. Configurable restocking alerts at 50% of minimum.
The dispatcher builds the route with drag-drop on the Mapbox map, but the Gemini AI Assistant can suggest groupings by geographic zone, client time windows and vehicle load. The human dispatcher always makes the final call — AI proposes, it does not impose.
Scope and model are defined in the assessment. They depend on the number of warehouses and drivers, the integrations (Shopify, ERP) and the monthly volume. Schedule a 30-minute assessment and we put it in writing.

A WORD FROM THE FOUNDER
“In logistics, delivering is half the job; the other half is being able to prove it.”
A delivery is defended like a receipt: it is worth whatever the proof is worth. Many operators have real-time tracking and experienced drivers, and the proof is still an illegible signature on a manifest that got wet in the truck. When someone says “I never received it”, that sheet is not enough.
We build digital proof of delivery — photo, signature, GPS, voice note and who received it — in an app designed for the driver inside the truck. On top of it, an AI assistant cross-checks orders, routes, inventory and claims, and leaves every dispute assembled with its evidence. The ETA updates and notifies; the exception — wrong address, refusal — goes up to a person with the case ready.
For the operation, that means every delivery is proven at the moment it happens. Book 30 minutes with me: I’ll tell you what can be digitized first, what we would build and how we would measure it. What proof do you answer an “I never received it” with today?

Gabriel Montiel
CEO · Boosty Digital
GET STARTED
Schedule a 30-minute assessment. We will tell you which portal to launch first, what we would build and how it would be measured. No corporate presentation.