Industries
We can build for almost any industry. Our deepest experience is physical-goods supply chain and distribution: importers, distributors, manufacturers, and freight. The same hands-on approach carries into the physical, front-line operations right beside them, across the US and Latin America, in English and Spanish.
Figures below are industry-typical estimates, not audited statistics.
Tonnage, yield, and machine uptime live in field notebooks and separate systems, so a problem shows up after the shift or the season, not during it.
AI pulls scale, field, and maintenance data into one live read, flags equipment before it fails, and reconciles tonnage against contracts as it moves.
Unplanned downtime runs 5-20% of output in heavy operations.
Assets, crews, and work orders are tracked across portals and email, so a missed inspection or a late part becomes a shutdown before anyone sees it coming.
AI watches asset and meter data for the early signal, schedules crews and maintenance against real constraints, and keeps compliance evidence audit-ready.
A single day of unplanned outage on a major asset can run into six figures.
The floor runs on tribal knowledge and spreadsheets, so a wrong part, a stale BOM, or a critical-spare stockout stops the line and nobody knew until it did.
AI cleans the part master, turns a fuzzy request into the exact SKU, and reorders on real velocity so the line keeps moving.
50-60% of MRO inventory sits excess or obsolete; techs lose 20-30% of their time finding the right part.
Landed cost doesn’t exist until the broker’s invoice arrives and the margin is already gone, and one wrong HTS code holds the container.
AI reads supplier email and messaging threads for PO status, and computes landed cost per SKU at quote time, before the goods move.
Demurrage runs ~$225/container/day; ~41% of customs holds trace to one misclassification.
Reorder happens when someone notices a low shelf on Tuesday, and one order-status question sends the team to four systems for a single answer.
AI sets reorder points from real velocity and lead time, matches every chargeback to its claim, and gives one answer per order from ERP, carrier, and inbox.
Top operators run 95% forecast accuracy and ~2% stockouts; deductions can reach 30% of gross sales.
Shipment status is assembled from carrier portals, email, and phone by hand, and service load grows one-for-one with volume.
AI aggregates carrier and port status into one feed, pushes client updates on real events, and flags when a lane stops covering its cost.
Freight margins of 10-15% erode under fuel surcharges that change every week.
Prior authorizations and denials pile up faster than staff can clear them, and lot, expiry, and cold-chain evidence scatter across sites until an audit becomes a scramble.
AI checks eligibility and drafts the prior-auth packet from the chart, routes each denial with the reason code read, and tracks lot, expiry, and cold-chain across every leg.
Most denials are never appealed though most appeals succeed; one cold-chain break can write off a shipment.
Month-end is a manual scramble across exports and spreadsheets, and past-due follow-ups go out when someone finds time, not when they’re due.
AI drafts collections with the right contact and amount, reconciles across systems, and assembles a clean close so the team reviews instead of builds.
AI-drafted collections have cut days-sales-outstanding by a week from go-live.
The work is billable, but a third of the day goes to intake, document lookup, scheduling, and status updates nobody bills for.
AI drafts and retrieves from your own documents, runs intake and scheduling, and turns unbilled admin back into billable capacity.
Knowledge workers lose an estimated 20-30% of the week finding and recreating information.
Why us
Traditional ERP averages 6 to 12 months in LATAM and 40% never reach go-live. We build inside the running operation, and your team is live before the old approach would have finished discovery.
The engagement is sized to the operation, so hiring is never a penalty. Your whole team works in the system from day one.
Next.js + Supabase + Postgres, the standard stack. If we disappear tomorrow, any dev shop picks it up where we left off. With a legacy ERP, your data sits in a proprietary format and leaving means paying for a second implementation.
No account managers, no partner handoffs, no consultants billing by the hour. You work directly with the three founders, across engineering, operations, and finance. Every dollar goes to the work.
One engagement, founder-led. You own what we build.