Software and AI for manufacturing and production plants
In a plant the order is everything, and it almost always lives in pieces: in WhatsApp, in an Excel, in the shop foreman's head and in the accounting system. Off-the-shelf software schedules or invoices, but it does not know what state each order is in. We build the system that does, from the order to the truck.
.what we find
The friction we see in this operation
None of it comes from an industry template: all of it is documented in the cases below.
- Nobody can say for sure how many orders are at each stage of the shop or which ones are days behind.
- The same order information is transcribed several times between WhatsApp, dispatch sheets, delivery notes and weighings, and the versions do not match.
- The store, the payment gateway, the accounting system and the carrier do not talk to each other: someone copies data between them to invoice and notify.
- Shrink and over-shipment are caught late or never, because the control does not happen where the weighing does.
- Distributors or referring clinics depend on the phone to get a quote and place an order.
.cases
The cases that back it up
- ManufacturingImage pending upload8 modulesfrom the appointment to milling and invoicing, in one system
Ortomec
Custom orthotic insole lab · Bogotá
We built Sparta: the platform that takes every custom orthotic insole from the foot exam to delivery, with a design queue, a milling queue, a network of partner clinics and electronic invoicing. It replaces the generic medical software that did not understand the factory.
- Custom software
- Integrations
- ManufacturingImage pending upload5 → 1times the same order gets transcribed: from five to one
Avícola Quintero
Chicken processing and distribution plant · Colombia
A management control system for the plant: the order is entered once and moves through picking, the scale, the delivery note and the end-of-day close without being retyped. Frozen daily prices, weighing with tolerance and delivery notes with their own sequence number. Live demo with the client 4 days after kickoff.
- Custom software
- ManufacturingImage pending upload5 systemsconnected in a single order flow, with nobody copying data between them
Miistyc
Food brand with its own plant and 100% online sales · Bogotá
An order orchestrator that listens to Shopify, Mercado Pago, Siigo, Envía and Jelou and moves every order through its seven states: from confirmed payment to electronic invoice to WhatsApp update. Today it runs in shadow mode on real orders.
- Integrations
- Custom software
Designed from scratch for companies like yours. Not a trimmed-down enterprise methodology.
Four principles and a proven execution loop. In 30 days your first AI system is running in production with real business metrics.
The execution loop
30 days. Four stages. Each with a concrete deliverable.
- 1Week 1
Understand
- Walk through your business, processes, data and current tools with you
- Identify the 3 AI opportunities with the highest impact
- Define the success KPIs together with you
Opportunity map + 30-day roadmap - 2Weeks 2-3
Build
- Implement solution #1, the one with the highest impact
- You approve each step, AI executes
- Testing with real data from your operation
Solution running in a test environment - 3Week 4
Launch
- Deploy to production
- Team training (1-2 hours)
- Measure initial KPIs
System in production + baseline metrics - 4Month 2+
Evolve
- Weekly metrics monitoring
- Adjustments and improvements based on real usage
- New incremental automations
Monthly ROI report
.free consultation
Looking for a technical partner who understands your operation?
Pick the type of project and tell us what you need. We reply with a first read of the problem, at no cost. You can also write to us directly at alejandro@forabi.ai.