The only way to leapfrog them is to stop buying what they are buying.
Every major freight forwarder in North America is in the same race right now. The ones who pick rigid, shared-codebase platforms will plateau. The ones who own their stack will keep compounding. Crane has about twelve months to pick a side.
For twenty years freight technology was a race to digitize what brokers and forwarders already did on paper. Load boards. TMS systems. EDI. Tracking. All useful. None of it changed the shape of the work.
The next ten years are different. AI is about to take the routine work out of freight operations entirely. Rate negotiation, carrier sourcing, appointment scheduling, status checks, exception handling, quoting, invoicing, audit. The things a dispatcher does at 11pm on a Tuesday. The things that used to require 50 people for a brokerage of your size.
The forwarders and brokerages that automate this work first will compound their advantage every quarter. Lower cost per load, faster response times, better carrier pricing, happier dispatchers doing higher-value work instead of data entry. The ones that do not will spend the next decade watching their margins get compressed by people who did.
This is the moment Crane gets to pick which group it is in.
The dominant cloud-native TMS philosophy is one codebase, no customization, configuration only. Every customer runs the same software. Every customer gets the same roadmap. Every customer bends their workflow to match the vendor opinions.
This model is efficient for the vendor. It is fatal for a forwarder at Crane scale, for three specific reasons.
One Crane business unit runs on WakeTech.ai. The AI crew handles inbound quoting, carrier negotiation, status checks, and appointment scheduling with human approval on every decision. Your dispatchers stop doing data entry and start doing the work they were hired for. The first week feels strange. By week three it feels obvious.
Hierarchical divisions, regional stations, and corporate rollup are built into your deployment. The customization layer holds your customs workflows, your legacy ERP integration, and the pieces of your business that make Crane Crane. Ops reports stop coming out of spreadsheets. Station managers see their own P&L in real time.
Your per-load cost is measurably lower. Your quote response time is measurably faster. Your dispatchers handle more loads per head without working harder. Your corridor intelligence flags disruptions before competitors see them. And the platform is still improving every month because you own it, not a vendor who owns you.
WakeTech.ai is in production today, handling real freight for a real brokerage under SCAC ATGL. Real loads. Real carriers. Real dollars. Not a demo. Not a prototype. Not a roadmap. When I pitch Crane, I am pitching a platform I bet my own business on first.
Two divisions running today under one deployment. Parent entity PGL Trans and agent office Greatwide. Each with its own SCAC, MC, banking, and user scope. The shape Crane needs, proven on real freight.
WakeEDI live with real trading partners. 204 tenders, 990 responses, 214 tracking, 997 acks. SFTP and AS2. Not a future roadmap item. A current production service.
North America truck profile built on our own infrastructure. Zero per-request bill. Full vehicle dimensions, hazmat, bridge restrictions. Running on the same platform your deployment would.
All WakeTech.ai customers run the same core at the same version. Security patches and improvements reach everyone on the same release cadence. The core stays rigid and that is how it stays fast, safe, and high-quality.
Each customer gets a dedicated deployment. Your own VM, your own database, your own network. Optional landing in your Azure tenant. Your data never mixes with another customer. Your performance is never affected by another customer workload.
Customer-specific work lives in a customization layer scoped to your deployment. Hierarchical divisions, customs workflows, legacy ERP integrations, the pieces that make Crane Crane. Built by WakeTech.ai, owned by you, maintained alongside core without forking it.
No rip and replace. No multi-year migration. No fight with your existing vendor. We pick one Crane business unit where the pain is highest, stand up a dedicated WakeTech.ai deployment, run real freight through it for 120 days, and measure outcomes against the numbers we agree on before we start.
At the end of the pilot, Crane has three things: a productionWakeTech.ai deployment scoped to that business unit, a documented case for what it did measured in your own P&L, and the option to expand on terms we agree to up front. If the outcomes are not there, we walk away clean, you keep the data, and Crane has learned something valuable for free.
The asymmetry is the point. Your downside is 120 days and a scoped budget. Your upside is a decade of compounding advantage over competitors who bought the other thing.
Twenty years ago I was at Crane. They called me Gadget Boy. I left, built a freight brokerage, ran it for two decades, and spent the last year building WakeTech.ai for myself because no vendor was building what an operator actually needs.
I am pitching Crane because I think what works for me will work for a company I still care about, at the scale Crane operates. I am not a consulting firm with a deck. I am the person who wrote the code, runs the brokerage, and answers the phone. If we do this, you are getting the founder on the line for the first eighteen months.
The next conversation is short. Let us have it.
The meeting is already on the calendar. This page is what I would say if I had an hour and a whiteboard. Read it before, read it after. Questions go to the email below and get answered by the person who built it.
aaron@waketech.ai