Industry · Logistics
For routing, shipment visibility, and the warehouse.
We build the software that moves freight and inventory — route and fleet optimization, real-time shipment visibility, warehouse and inventory systems, demand forecasting, and customs and document automation.
Grounded in the data your TMS, WMS, ERP, and carrier feeds already produce — wired to the systems you already run.
On top of the systems you run, integrated not replaced
The problem
Why the supply chain stays expensive even after you've bought the software.
Because the cost lives in the gaps between systems, not inside any one of them. Your TMS plans a route, your WMS knows the stock, your carriers post status updates, your ERP holds the orders — but they don't share a single live picture.
So a truck rolls out half-empty, a rep can't say where a load actually is, a warehouse over-orders against a forecast nobody trusts, and a shipment clears customs late because a document was keyed by hand. Each gap is a small leak — and at volume, the leaks add up to the margin.
The fix isn't another off-the-shelf platform your dispatchers route around — it's software built to your lanes, network, and constraints that closes the gaps between the systems you already have.
US business logistics costs in 2024 — about 8.7% of GDP. Even a small percentage clawed back is a large number.
of total miles ran empty in 2024, at ~$1.78/mile non-fuel cost — the highest ATRI has recorded.
What we build
Where logistics software earns its keep — and what each use case delivers.
A set of high-leverage systems that sit on top of the operation and the systems you already run. For each: what it does, the benefit, and a one-line illustration.
Route & fleet optimization
Plans and re-plans multi-stop routes against real constraints — capacity, time windows, driver hours, traffic, fuel.
Benefit — fewer miles, lower cost per delivery, more drops per route.
Example: a fleet gets a plan that fits two extra stops per truck and trims the empty back-haul — cost-per-delivery falls without adding a vehicle.
Real-time shipment visibility & ETAs
Pulls carrier, telematics, and milestone data into one live view, with predicted ETAs and an alert the moment a shipment will miss.
Benefit — fewer "where is my order?" calls, fewer detention and expedite fees.
Example: a delayed load is flagged hours early, so the dock re-slots the door and the customer gets a proactive ETA, not a missed delivery.
Warehouse & inventory management
Directs receiving, putaway, picking, packing, and cycle counts, keeping inventory accurate in real time across one or many sites.
Benefit — higher pick accuracy and throughput, less safety stock, fewer mis-ships.
Example: a picker is routed on the shortest path and scan-verified at each step, so throughput rises and wrong-item shipments never leave the building.
Demand & inventory forecasting
Learns demand from your order history and signals, and recommends what to stock where — turning month-end guesswork into a forecast tied to reality.
Benefit — fewer stockouts and emergency expedites, less cash frozen in overstock.
Example: a seasonal spike is anticipated early, so the right SKUs sit at the right DC ahead of time instead of being air-freighted in at a premium.
Customs & document automation
Extracts, validates, and routes cross-border paperwork — invoices, bills of lading, packing lists, customs declarations — instead of re-keying by hand.
Benefit — faster clearance, fewer documentation errors, staff off data entry.
Example: an invoice is validated against the shipment automatically, so a missing HS code is caught before filing — not after a hold, a fine, and a day of demurrage.
Freight & load matching
Two-sided systems that match available loads to available capacity — for a broker, 3PL, or private fleet's back-hauls — with booking and settlement built in.
Benefit — fewer empty miles, faster load coverage, capacity turned into revenue.
Example: a truck heading home empty is matched to a back-haul going its way — a deadhead leg becomes a paid load, the "empty miles" loss the industry runs at 16.7%.
The measured impact
What better software does to logistics work.
Independent, third-party findings on the cost of the gaps logistics software closes — cited as industry evidence, not Silicon Prime client results.
US business logistics costs, 2024
roughly 8.7% of GDP — even a small percentage clawed back from routing, inventory, and clearance is a large number.
Of total miles ran empty
in 2024, at ~$1.78/mile non-fuel cost — the highest ATRI has recorded. The direct prize route-optimization and load-matching attack.
AI supply-chain gains
early adopters improved logistics costs by 15%, inventory levels by 35%, and service levels by 65% versus slower-moving competitors.
A system that routes trucks or commits inventory has to be right, and stay right under load.
The two-sided matching, booking, and settlement behind a freight platform is the engineering we built end to end with YardClub — $120M+ processed, acquired by Caterpillar. The pure-reliability bar is BJ's: a 200+ location operation held at twice-a-week releases with zero critical defects across four years.
The scope
What logistics software development covers.
The software and intelligence layer — what plans, tracks, predicts, and decides across your operation. We build the software; we read from telematics, ELDs, GPS, and robotics, we don't build them.
Route, fleet & dispatch optimization
Optimization and dispatch tools that plan multi-stop routes against real constraints — capacity, time windows, hours-of-service, traffic, cost — built to your network, integrated with your TMS and telematics.
Real-time visibility & track-and-trace
Track-and-trace that unifies carrier, telematics, and milestone data into one live view with predicted ETAs and exception alerts — on your data, so the status you act on is trusted.
Warehouse & inventory systems
Custom warehouse and inventory apps — receiving, putaway, pick/pack, cycle counts, multi-site stock accuracy — purpose-built to your operation, or integrated with the WMS you already run.
Forecasting & optimization models
The ML models behind demand forecasting, inventory positioning, and network optimization — validated against your historical data so the recommendations are trustworthy, not a black box dispatch overrides.
Customs, documents & compliance automation
Document-extraction and validation for invoices, bills of lading, customs declarations, and packing lists — cutting manual entry and the errors that trigger holds, with human review where a wrong filing is expensive.
Integration & modernization of existing systems
Connecting the TMS, WMS, ERP, and carrier feeds you run into one record, and modernizing the legacy logistics systems too brittle to build on — without ripping out what works.
What you get — all assigned to you under full work-for-hire IP transfer
How it runs
One accountable lead, fixed scope, no handoffs.
The same delivery model behind all our work, tuned for the supply chain. Most engagements reach production in 4–8 weeks, full IP assignment signed before we start.
Discover
Scope the use case and the loss it targets — empty miles, expedite fees, stockouts, slow clearance, bad ETAs — and confirm the data supports it, with the honest "your TMS already does this" call included.
Output: a ranked plan & the metric we'll be judged on
Connect
Integrate the TMS, WMS, ERP, telematics, and carrier data you already have into a usable record through governed connections — we read from and write to your systems, never build the hardware.
Output: a trusted data foundation
Build
Develop the system and, where it applies, train and validate the model against your historical data, in your own cloud tenant — tested on your real lanes and orders, not a demo.
Output: a working system on your real data
Deploy & enable
Pilot on one lane, region, or warehouse, prove the metric moves, then roll out wide — your team trained to operate, retrain, and extend it.
Output: a production system & a team that owns it
The track record
The engineering a system that moves freight has to clear — and where our depth actually is.
We'll be straight: none of our case studies is a freight, 3PL, carrier, or warehouse operation. What transfers directly is the engineering, and we'll show it through honest adjacent examples rather than a logistics case we don't have.
The closest in domain is YardClub — the contractor-to-contractor marketplace we built end to end: listings, availability and booking, payments, and the transaction and trust infrastructure that moved idle machines between operators. It processed $120M+ and was acquired by Caterpillar in 2017 — the exact two-sided matching, booking, and settlement engineering a freight or load-matching platform runs on.
The clearest proof of pure production reliability is BJ's Restaurants. Over four years we held a 200+ location operation — a multi-site business with its own supply and distribution to keep stocked — at twice-a-week releases with zero critical defects. The "ships fast, never breaks the thing operations depend on" bar a routing or WMS system has to meet.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran. If your problem is a genuine stretch, we'll say so and scope a contained pilot on one lane or warehouse first.
YardClub
A two-sided equipment marketplace built end to end — listings, booking, payments, transaction infrastructure. $120M+ processed; acquired by Caterpillar in 2017. The same matching and settlement engineering a freight platform needs.
BJ's Restaurants
A 200+ location operation — with its own supply and distribution to keep stocked — held at twice-a-week releases with zero critical defects across four years. The reliability bar a routing or WMS system must meet.
Why build it with us.
The software layer, honestly scoped. We build the intelligence on top of your operation — routing, visibility, WMS, forecasting, document automation — not telematics hardware, ELDs, GPS, or warehouse robotics. That boundary means a faster, lower-risk engagement and no overpromising.
Transaction infrastructure we've actually shipped and sold. The two-sided matching, booking, and payments behind a load- or freight-matching platform is the engineering we built end-to-end with YardClub — $120M+, acquired by Caterpillar. Adjacent industry, directly transferable.
Models you can trust, validated on your data. We validate forecasting and optimization models against your historical record before they go live, with human-in-the-loop review where a wrong call is costly — because the fastest way to kill a planning tool is recommendations the team learns to ignore.
Founder-led, built to transfer. One accountable lead, not a relay of account managers; the code, models, and pipelines are assigned to you, your team trained to run them when we step back.
Where this connects
A logistics build rarely stands alone.
It rests on the same engineering we bring to neighboring work.
Data & analytics engineering
The trusted-data foundation visibility, ETAs, and forecasting run on — unifying carrier and telematics feeds into one live record.
Data engineering →Machine learning development
The demand-forecasting, inventory-positioning, and route-optimization models — validated on your history before they go live.
ML development →Manufacturing software
The plant-floor side of the supply chain — production analytics and supply-chain visibility that feed the same network.
Manufacturing software →Questions buyers ask before they build.
Do you have logistics or supply-chain clients we can reference?+
Do you build telematics hardware, ELDs, GPS trackers, or warehouse robotics?+
Do we have to replace our TMS, WMS, or ERP to work with you?+
What kind of results does better logistics software actually drive?+
Why do so many logistics and supply-chain software pilots stall before they reach production?+
How do you handle our operational and customer data and security?+
Who owns the software and the models when you're done?+
How fast can we see something working, and what does it cost?+
Thirty minutes · No pitch deck
Ready to close the gaps the supply chain leaks margin through?
Bring the loss you want to attack — empty miles, expedite fees, stockouts, slow clearance — and we'll tell you honestly whether your data supports it, what it takes to build, and what it costs to run.