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Also serving Cannanore
In Kannur the clerical load is heavy and the margins are thin; automation takes the retyping, chasing and reminding off people who have better work to do.
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Photo: Kidu (talk) · Public domain · via Wikimedia Commons
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No. The best first projects are often in small firms, because one person freed from data entry is a large share of the office. We choose a single task with clear volume, such as bill entry, and prove the saving before suggesting more.
We limit it to your own data: your price list, your stock, your policies. Where it cannot find an answer it says so and passes the conversation to a person. Every reply is logged for review.
Yes. Chat and voice assistants understand and reply in Malayalam and English, and handle the mixed language most customers in Kannur actually type. We test with real messages from your own enquiry history before launch.
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.
Walk into the office of any mid-sized firm in Kannur and count the people copying information from one place to another. A buyer's purchase order arrives as a PDF and is typed into a sheet. Supplier bills are keyed into Tally. Payment reminders go out from somebody's phone. None of this is skilled work, and all of it is done by skilled people.
Our AI and automation services are custom-built, not a boxed product. We look for the repetitive steps in your business and build what removes them: document reading for orders and bills, chat assistants for customer and member questions, voice handling for calls, and scheduled workflows inside ERPNext. Each piece starts narrow, is measured against the manual way, and is widened only when it has proved itself.
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An apparel order at the KINFRA park in Nadukani can run to hundreds of lines of style, colour and size. Document handling reads the buyer's file, matches it to your item codes and drafts the sales order for a person to check.
Customers in the Gulf message Kannur shops and homestays late in the Indian evening. A chat assistant grounded in your own catalogue and rates answers at once and hands the conversation to staff next morning with the details captured.
Wholesalers supplying provision shops around Iritty market rely on the salesman remembering who owes what. Automated reminders driven by the ERP's receivables, sent over WhatsApp or by call, keep collections moving without awkward follow-up.
An example
A garment unit inside the KINFRA Textile Centre at Nadukani receives a purchase order by email on a Tuesday morning. The document reader extracts styles, sizes and delivery date and drafts a sales order in ERPNext, flagging two lines whose style codes are new. The merchandiser maps them and confirms. A workflow raises the material request for fabric and trims. Meanwhile the assistant on the unit's WhatsApp number answers a Dubai retailer asking about a repeat order, quoting stock from the system. In the afternoon a scheduled job compares stitching output against the ship date and warns about one style. Nobody retyped anything, and the owner reads the day's orders on the drive back to Thaliparamba.
We work with Kannur clients in short, bounded stages. The first is a discovery visit or a set of video sessions to watch the manual process and agree one target. We build against your real documents, not samples, and run the automation alongside your staff until its accuracy is accepted. Our engineers are in Kochi; travel north is planned around workshops and handover, and tuning is remote.
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.
Apparel and garments at KINFRA Nadukani
Reading buyer orders and test reports into the system, flagging orders at risk of missing the ship date from cutting and stitching progress, and drafting routine buyer updates for a merchandiser to approve.
Retail and wholesale trade
Supplier invoices captured into purchase entries, reorder suggestions from sales history ahead of Onam demand, and a customer assistant that answers stock and price questions from live ERP data.
Handloom welfare and co-operative administration
Member applications, pension queries and welfare claims handled by document reading and a Malayalam assistant, so that clerks at a society or welfare office spend their time on cases that need judgement.
KINFRA Textile Centre, Nadukani (Thaliparamba)park
123.38-acre KINFRA park at Nadukani near Thaliparamba with 134 units, thrust sector apparel/garments; has a common dye house, effluent treatment plant and a standard design factory; 14 km from Kannur railway station.
An apparel park with a common dye house means buyer purchase orders, test reports and shipment documents arriving daily, the most rewarding paperwork to automate.
Source: kinfra.orgIritty marketmarket
main marketplace for hill farmers selling pepper, rubber and cashew; gateway town for trade with Kodagu and Mysuru via SH 30
A marketplace for pepper, rubber and cashew trading towards Kodagu and Mysuru generates credit sales, weighbridge slips and collection calls that automation can track and remind on.
Source: en.wikipedia.orgKerala Handloom Workers' Welfare Fund Boardinstitution
statutory state board headquartered in Kannur (since 1989) paying pensions and welfare to handloom workers across Kerala
A statutory board paying pensions and welfare to handloom workers across Kerala from Kannur handles forms and member queries in volume, a workload suited to document reading and assistants.
Source: kannur.nic.inPlaces and organisations are named for local context only. Acube Innovations is not affiliated with or endorsed by them.
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Kochi (Kadavanthra & Infopark) · Thiruvananthapuram · across India & overseas · In business since 2011