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.
It’s grounded in the data your TMS, WMS, ERP, and carrier feeds already produce, and wired to the systems you already run.
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 customer-service rep can’t say where a load actually is, a warehouse over-orders against a forecast nobody trusts, and a shipment clears customs a day late because a document was keyed by hand. Each gap is a small leak, and at the volume a logistics operation runs, 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. That is what logistics software development, done properly, delivers.
This isn’t one product. It’s 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 it produces, and a one-line illustration of how that plays out.
Plans and re-plans multi-stop routes against real constraints — vehicle capacity, time windows, driver hours, traffic, fuel — instead of the static, manually-tweaked plan most dispatch still leans on. Benefit — fewer miles, lower fuel and labor cost per delivery, and more drops per route.
For example, a same-day fleet that hand-builds routes each morning gets an optimized plan that fits two extra stops onto each truck and trims the empty back-haul — so cost-per-delivery falls without adding a vehicle.
Pulls carrier, telematics, and milestone data into one live track-and-trace view, with predicted ETAs and an alert the moment a shipment is going to miss its window. Benefit — fewer “where is my order?” calls, fewer detention and expedite fees, and customers told before they ask.
For example, a delayed inbound load is flagged against its appointment hours early, so the dock re-slots the door and the customer gets a proactive ETA instead of a missed delivery and an angry phone call.
Directs receiving, putaway, picking, packing, and cycle counts, and keeps inventory accurate in real time across one or many sites. Benefit — higher pick accuracy and throughput, less safety stock, and fewer mis-ships.
For example, a picker is routed on the shortest path and scan-verified at each step, so throughput rises and a wrong-item shipment that would have triggered a return never leaves the building.
Learns demand patterns 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 fewer emergency expedites, with less cash frozen in overstock.
For example, a seasonal spike is anticipated from last year’s pattern plus current signals, so the right SKUs are positioned at the right DC ahead of time instead of being air-freighted in at a premium when the shelf goes empty.
Extracts, validates, and routes the paperwork that moves freight across borders — commercial invoices, bills of lading, packing lists, customs declarations — instead of re-keying it by hand. Benefit — faster clearance, fewer costly documentation errors, and staff off data entry.
For example, a commercial invoice is read and validated against the shipment automatically, so a missing HS code is caught before filing rather than triggering a hold, a fine, and a day of demurrage at the port.
Two-sided systems that match available loads to available capacity — for a broker, a 3PL, or a private fleet’s back-hauls — with the booking and settlement built in. Benefit — fewer empty miles, faster load coverage, and capacity turned into revenue.
For example, a truck heading home empty is matched to a back-haul going its way, so a deadhead leg the operation was eating becomes a paid load — the exact “empty miles” loss the industry runs at 16.7%.
The scope below is the software and intelligence layer — what plans, tracks, predicts, and decides across your operation. We build the software; we don’t build telematics hardware, ELDs, GPS units, or warehouse robotics — we read from them.
Optimization engines and dispatch tools that plan multi-stop routes against real constraints — capacity, time windows, hours-of-service, traffic, cost — built to your network and integrated with the TMS and telematics data you already collect.
Track-and-trace systems that unify carrier, telematics, and milestone data into one live view with predicted ETAs and exception alerts — built on your data through our data engineering work, so the status you act on is trusted.
Custom warehouse and inventory applications — receiving, putaway, pick/pack, cycle counts, multi-site stock accuracy — purpose-built to your operation, or integrated cleanly with the WMS you already run rather than forcing a rip-and-replace.
The machine-learning models behind demand forecasting, inventory positioning, and network optimization — validated against your historical data so the recommendations are trustworthy, not a black box dispatch learns to override.
Document-extraction and validation systems for invoices, bills of lading, customs declarations, and packing lists — cutting manual data entry and the costly errors that trigger holds, with human-in-the-loop review where a wrong filing is expensive.
Connecting the TMS, WMS, ERP, and carrier feeds you already run into one record, and modernizing the legacy logistics systems that are too brittle to build on — without ripping out what works.
What you get when you hire us — all assigned to you under full work-for-hire IP transfer
The same delivery model behind all our work, tuned for the supply chain — one accountable lead, fixed scope, no handoffs to account managers.
Scope the use case and the loss it targets — empty miles, expedite fees, stockouts, slow clearance, bad ETAs — and confirm the data supports it. Run as our AI readiness assessment, with the honest “your TMS already does this for you” call included.
Output: a ranked plan & the metric we’ll be judged on
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 existing systems; we don’t build the hardware or replace what works.
Output: a trusted data foundation
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
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
Most engagements reach production in 4–8 weeks, payment is tied to the ROI we agreed at kickoff, and full work-for-hire IP assignment is signed before we start.
A system that routes trucks, commits inventory, or files a customs declaration has to be right, and stay right under load. That production discipline is exactly what Silicon Prime is built on — and we’ll be straight about where our named work sits.
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 for heavy construction equipment that we built end to end: listings, availability and booking, payments, and the full transaction and trust infrastructure that let operators move idle machines to one another. It processed $120M+ in transactions and was acquired by Caterpillar in 2017. That is exactly the two-sided matching, booking, and settlement engineering a freight or load-matching platform runs on — adjacent to logistics, even though that engagement was an equipment marketplace, not a transportation network.
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, through evals before release, staged rollout, and continuous monitoring. That is 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 — 20+ years of production engineering, personally accountable for every engagement. If your problem is a genuine stretch for what we’ve shipped, we’ll tell you, scope a contained pilot on one lane or warehouse to prove it before you commit, and put the accountability in writing.
The software layer, honestly scoped. Our logistics software development covers the intelligence on top of your operation — routing, visibility, WMS, forecasting, document automation — not telematics hardware, ELDs, GPS units, or warehouse robotics. That boundary means a faster, lower-risk engagement and no overpromising on integration we don’t do.
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+ in transactions, acquired by Caterpillar. Adjacent industry, directly transferable engineering.
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 dispatch or 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 with your team trained to run them when we step back.
What teams want to know before they commit to a logistics software build.
We’ll be straight: our named case studies are not a freight, 3PL, carrier, or warehouse operation. The closest in domain is YardClub, a heavy-equipment marketplace we built end to end — listings, booking, payments, and transaction infrastructure — which processed $120M+ in transactions and was acquired by Caterpillar in 2017. That is the same two-sided matching and settlement engineering a freight-matching platform runs on, plus the multi-site operational reliability we hold at BJ’s Restaurants. For a first logistics engagement we scope a contained pilot on one lane or warehouse to prove the value before you commit — the accountability is the founder’s, in writing.
No — we build the software and intelligence layer: routing and dispatch, shipment visibility, WMS and inventory systems, forecasting, and document automation. We read from the telematics, ELD, and GPS data your vehicles and partners already produce, but we don’t build the on-vehicle hardware, and we don’t supply conveyors, robots, or automation equipment for the warehouse. Keeping that boundary clear is part of why our engagements are fast and low-risk; for the hardware we’ll point you to the right specialist.
No. We integrate with the TMS, WMS, ERP, and carrier feeds you already run rather than replacing them — most of our work sits alongside those systems, reading and writing their data and adding the routing, visibility, or forecasting layer that’s missing. Where a legacy logistics system is genuinely too brittle to build on, we’ll modernize that piece without ripping out what works, and we’ll tell you honestly when off-the-shelf already covers your need and a custom build isn’t worth it.
Independent research frames the prize. McKinsey reports early adopters of AI-enabled supply-chain management cut logistics costs by 15%, inventory by 35%, and lifted service levels by 65% (McKinsey), and ATRI puts industry empty miles at 16.7% of all miles in 2024 (ATRI, 2025). Those are industry figures, not our client results — but they’re the losses routing, visibility, and forecasting software is built to attack, which is why we set the target metric at kickoff and measure it against a baseline rather than promising a number we can’t stand behind.
Across them — that’s usually the point. The value of a visibility or matching system comes from unifying data that lives in different carriers, telematics providers, and partner systems, so we build the integrations to pull carrier and milestone data into one live record. Where a partner has no clean feed, we’ll be honest about the limits and design around them rather than promising a track on a shipment no system can actually see.
The software runs in your own cloud tenant under your access controls; integrations are scoped to the data each use case needs; and every engagement starts with an NDA and a security review. We document every data path so your IT team can verify rather than trust. For shipment, customs, and customer records, that audit trail is also what makes the data usable later to settle a claim or pass a compliance check.
You do — completely. The applications, trained models, data pipelines, and dashboards transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate, retrain, and extend them. Keep us on a reduced retainer or take the keys; the engagement is built around the handover, not around locking you in.
Most engagements reach production in 4–8 weeks under a fixed-scope, ROI-tied model with one accountable lead, and we typically prove the metric on a single lane, region, or warehouse before scaling. Build cost depends on scope — our AI development cost guide gives real ranges. If you want the honest version of why so many supply-chain software pilots stall before production, our analysis of why enterprise AI projects fail is worth a read first.
Thirty minutes · No pitch deck
Bring the loss you want to attack — empty miles, expedite fees, stockouts, slow clearance, blind shipments, a workflow nothing off-the-shelf fits — and we’ll tell you honestly whether custom software is the right call, what it takes to build, and what it costs to run.