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Also serving Palghat
From lorry receipts at Walayar to inspection sheets in Kanjikode, Palakkad offices retype the same documents daily; custom AI and automation takes that load off people.
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Photo: Vis M · CC BY-SA 4.0, cropped · via Wikimedia Commons
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Palakkad's industry runs on paper that moves faster than the people handling it. A logistics office by Kanjikode railway station receives consignment notes, proofs of delivery and fuel bills by the bundle. A cold-store operator in the Mega Food Park logs inward pallets and temperature sheets by hand. A rice mill reconciles weighbridge slips against supplier bills. It occupies skilled staff, and the mistakes surface weeks later.
Acube builds AI and automation to order: document reading, chat and voice assistants, forecasting and workflow automation, usually connected to ERPNext. We start with one painful task, prove it on your own documents, keep a person in the approval loop, and only then widen it. For a Palghat firm this is a practical way to grow output without adding desks.
Case studies
Kera Cabs
Kera Cabs — 55% of Bookings Moved Off the Phone and Into the App
Kerala State Road Transport Corporation (KSRTC)
KSRTC — ERPNext Courier System Delivered ₹1 Crore in Profit
Connect N Cabs Tours & Travels Pvt. Ltd.
Connect N Cabs — A Custom Travel ERP That Lifted Fleet Utilisation 35%
Transporters cannot bill until the signed delivery copy comes back, and those copies arrive as phone photos in a WhatsApp group. An automation reads each image, matches it to the trip, flags missing ones and prepares the invoice draft, so billing follows delivery by days instead of weeks.
Auto-component units record dimensions and defects on paper for every lot because the customer demands it. The sheets are filed and forgotten. Captured digitally and analysed, the same data shows which machine, shift or raw material batch is driving rejections, before the customer's complaint does.
A miller decides how much paddy to buy and hold on instinct and last year's memory. A forecasting model built on the mill's own sales, stock and price history gives a second opinion on quantity and timing. It gives judgement better numbers.
An example
A transport office near Kanjikode railway station opens on a Tuesday to a phone full of photographs: delivery copies signed the previous evening in Salem, Tiruppur and Kochi. Nobody retypes them. The automation has already read each image overnight, matched it to the trip and marked two as unreadable. The billing clerk looks only at those two, confirms them from the driver's call, and releases the morning's invoices to the consignors before lunch. In the afternoon the owner's phone shows a warning that one lorry's fitness certificate lapses next month, and the dispatcher stops assigning it long runs before the check post does.
An automation project with a Palakkad business begins with a visit from Kochi to see the task being done by hand and to collect sample documents. We build a pilot on that real material and show you its accuracy in plain figures from your own files. Your staff review exceptions on a simple screen. Development is remote. Rollout and training happen at your site.
Discovery. We map your processes and rank use cases by payback and by how ready the data is.
Pilot on your data. The first narrow use case, measured openly against your current baseline.
Human review. Your team checks the output until accuracy clears your bar.
Go-live with guardrails. Fallback to a person, confidence thresholds, audit logs and security controls.
Scale what works. The next use case, only once the first one has proved itself.
The scope and timeline are agreed in writing before work starts.
Logistics and warehousing
Reading lorry receipts, delivery proofs and fuel bills into the trip record, automatic status messages to consignors, and alerts when a vehicle's permit, insurance or fitness certificate is about to lapse.
Automobile components and rubber goods
Digitised inspection records with trend alerts, camera-based checks for visible moulding defects where the part suits it, and automatic matching of customer schedules against production plans and stock.
FMCG and food processing
Inward and temperature logs from cold stores read into stock records, supplier bill and weighbridge slip matching for processors, and payment reminders to dealers sent in Malayalam or Tamil.
No, although it helps. Automation needs somewhere reliable to put its output, and ERPNext is a good home for it. If you run Tally or another system, we can often work with exports and imports.
Printed and typed documents read very reliably. Handwriting varies, so we design for it: the system marks fields it is unsure of and a person confirms them. Accuracy is measured on your own samples during the pilot, and you decide whether the result is good enough before anything goes live.
It stays in systems you control. We host automation on your server or your own cloud account, restrict access by role, and do not use your documents to train public models. For Kanjikode units supplying larger manufacturers, customer confidentiality clauses are common and are designed for.
After a first conversation about the process you want to automate, where its data lives and how you measure it today, we agree the scope and send you a written quotation. The price, the deliverables and the timeline are fixed against that scope before any work starts, so nothing grows without your sign-off.
You speak to someone who does this work, not a call centre. They ask about the work that takes the most hours, where its data lives and what a good result would look like. If it looks like a fit, we agree the scope and put it in writing, with the timeline, before any work starts. If it does not, we tell you.
KINFRA Mega Food Park, Kanjikode (Elapully / Pudussery)park
Sector-specific food-processing park of about 79 acres under the central Mega Food Park scheme, with cold storage, ripening chamber, warehouses, silos, pack house and a quality-control lab; about 20 km from Palakkad railway station.
Cold storage, ripening chambers, silos and a pack house generate inward logs, temperature sheets and quality records daily, all of them candidates for automated capture into stock and quality systems.
Source: kinfra.orgKanjikode railway stationtransport
station serving the industrial belt; local trains only, express services use Palakkad Junction
The station serving the industrial belt, with transport and forwarding offices around it that live on consignment notes and proofs of delivery, the documents automation handles best.
Source: en.wikipedia.orgCoimbatore International Airporttransport
nearest airport, about 55–62 km from Kanjikode / Palakkad town
The nearest airport, a little over an hour from Kanjikode. Exporters shipping through it deal in airway bills and packing lists that can be read and matched automatically.
Source: kinfra.orgPlaces and organisations are named for local context only. Acube Innovations is not affiliated with or endorsed by them.
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