Four engagements, four different problems — shipping document automation, invoice processing, customer-facing portals, and corporate AI literacy. Names are kept general at the client's request; the work and results are real.
Before a shipping line releases a delivery order, it asks for its own set of letters: an authorization of the clearing agent, a declaration of the staff collecting the DO, and letter of indemnity copies for both the consignee and the clearing agent. The same BL number, vessel, arrival date and container details were typed into every letter by hand, staff CNICs were looked up each time, and a single wrong digit meant a rejected letter and another trip to the shipping line's office.
We built a Smart Document Center on the company's own Google Workspace. Staff upload the shipping line's charges invoice and the form reads the BL, HBL, vessel, voyage, arrival date and container count automatically, highlighting them for review. Consignees, their signatories and premises addresses, and the DO staff with their CNICs load from saved records. One click fills every letter in the shipping line's exact format, merges them into a single A4 PDF with space for company letterhead, strikes out the non-applicable parties on each indemnity copy, and files the PDF and invoice in a folder named after the BL.
A full DO letter set now takes a few minutes of checking instead of close to an hour of typing and proofreading. Shipment details are entered once instead of several times per letter, every document is archived by BL automatically, and the same setup is being extended to more shipping lines as separate deployments.
See the Smart Document CenterThe company's operations team was manually re-keying supplier and shipping-line invoices into spreadsheets to generate pay orders — a slow, error-prone process that delayed clearance and tied up staff for hours on every shipment. Charges needed to be grouped correctly by beneficiary, and certain charges (like the container security deposit) always had to be issued separately, which made the manual process easy to get wrong.
We built an AI-powered requisition generator inside their existing PHP/MySQL system. It reads uploaded invoices, extracts line items automatically, and applies the company's own business rules — grouping charges by beneficiary, separating out security deposits, and converting to PKR at the correct exchange rate — before generating a ready-to-use Excel requisition.
What used to take an operations staffer 20–30 minutes of manual data entry per shipment now takes a single upload and a review pass. Errors from manual re-keying dropped, and the team could process a higher shipment volume without adding headcount.
Customers had no way to track shipments or get quotes without calling or emailing the operations desk. This created bottlenecks during busy periods, delayed responses to customers, and gave the company no easy way to present its own tariff structure or service data to clients.
We built a full customer portal with live shipment tracking, an automated quote calculator, a browsable tariff structure, and an admin dashboard with analytics for the operations team — all with role-based access so customers, staff, and admins each see what's relevant to them.
Customers can now get quotes and check shipment status themselves, at any hour, without waiting on a call back. The operations team gets a clear analytics view of shipment activity instead of tracking it manually, freeing up time previously spent answering routine status requests.
Heads of department across the business were using AI tools inconsistently — some not at all, some without understanding how to get reliable results — with no shared baseline of AI literacy across the organization.
AIREV designed a corporate AI fundamentals training program covering Claude AI specifically, delivered as an in-person classroom session for heads of department across departments, with a live demo session ahead of full rollout to confirm fit before committing to the full program.
Department heads left with a working, shared understanding of how to use AI reliably in their own function — a common baseline the organization didn't have before, and a foundation for further team-level training.
Tell us what's slow, manual, or inconsistent in your business — we'll tell you honestly whether AI is the right fix.
Book a Consultation