Product Overview

SALLY is an intelligent dispatch and driver coordination platform for US trucking fleets. It generates optimized end-to-end route plans, continuously monitors real-world conditions, and simplifies communication between dispatchers and drivers through automated alerts and dynamic route updates.

The Problem

Dispatchers and drivers work in silos. Current tools don’t bridge the gap:

Dispatchers manually calculate HOS (error-prone), react to problems after they happen, and make constant phone calls for status updates. They can’t prevent violations proactively.

Drivers get a list of stops but no actual route plan. They manually plan routes in their heads, run out of hours mid-route, miss appointments, and waste fuel at suboptimal stops.

Current tools fall short:

The result: dispatchers and drivers work in silos, leading to inefficiency, HOS violations, missed appointments, and wasted fuel.

The Solution

SALLY is a compliance-first fleet operations platform with a conversational AI interface at its core. Instead of clicking through menus and forms, dispatchers and drivers talk to SALLY naturally.

SALLY AI — Your Conversational Co-Pilot

SALLY AI is the primary interface for the platform. Dispatchers and drivers interact through natural language conversation:

• “Plan a route from LA to Chicago for Driver Martinez with 3 stops” — SALLY plans the route, optimizes stops, inserts rest and fuel, and presents the result
• “Driver Johnson is stuck at the dock for 2 extra hours” — SALLY re-evaluates the route, checks HOS impact, and suggests adjustments
• “Show me which drivers are at risk of HOS violations” — SALLY queries the monitoring layer and surfaces alerts
• “What’s the cheapest fuel stop near I-40 exit 150?” — SALLY checks fuel prices and recommends options

The conversational UI is already built and live. SALLY AI is the initial feature and core experience — every other capability flows through it.

Under the Hood

The AI interface is powered by a full fleet operations engine:

1. Optimizes stop sequence using TSP/VRP algorithms
2. Inserts rest stops where HOS regulations require
3. Inserts fuel stops based on range and price
4. Validates HOS compliance for the entire route before the driver starts
5. Monitors and updates dynamically when conditions change
6. Alerts dispatchers proactively when intervention is needed

SALLY converses. Dispatchers ask, drivers update, and the platform handles the rest.

How It Works

Input: Driver (HOS state) + Truck (fuel, capacity) + Stops (time windows)
                                    ↓
                    TSP Stop Sequence Optimization
                                    ↓
                  HOS Simulation (segment-by-segment)
                                    ↓
            ┌───────────────────────┼───────────────────────┐
            ↓                       ↓                       ↓
     Rest Stop Insertion     Fuel Stop Insertion      Break Insertion
     (when hours low)        (when tank low)          (after 8h driving)
            └───────────────────────┼───────────────────────┘
                                    ↓
                      Feasibility Validation
                 (HOS compliant? Appointments met?)
                                    ↓
              Output: Optimized, HOS-compliant Route Plan

Example

Given a driver with 6 hours available and 3 stops (A, B, C):

Total: 300 miles, 22h (including rest), HOS compliant.

Who It’s For

Primary users:

• Dispatchers / Ops Managers — Plan routes, monitor progress, receive alerts, manage interventions
• Drivers — Follow route plans, view rest/fuel recommendations, receive real-time updates

Target market:

• Small-to-mid carriers (20–100 trucks)
• Currently using basic TMS + ELD
• Pain: Manual route planning, no HOS-aware dispatch, constant dispatcher-driver communication

Technology Stack

Next Steps

• Vision & Mission — Where SALLY is going
• Core Features — What SALLY does in detail
• Roadmap — What’s built and what’s next
• Getting Started — Start using the API