Ai Automation - End-to-end process

Ai Automation Engineering · Process Automation · Workflow Architecture

Every self-pickup inquiry on Superlej.dk required a staff member to manually extract booking details from an email, look up the price on the website, check availability, and compose a tailored quote — a process that caused multi-hour response delays and inconsistent output. 

This project automated the entire flow end-to-end.

Challenge

The Superlej.dk contact form sent structured customer inquiries directly to an email inbox — but every response required a manual, multi-step process: read the email, extract 16 data fields, look up the current product price on the website, verify calendar availability, then compose and send a personalised quote with conditional sections depending on customer type (B2B vs. B2C), floor type, product category, and arrangement type. 

Response times ranged from hours to multiple days.

Approach

Designed and built a fully automated multi-stage pipeline covering four key phases:

• Automated Intake & Classification
  Incoming customer inquiries are automatically detected and validated. Only self-pickup submissions proceed — all other traffic is filtered out at entry.
  
  

  1. • • Structured Data Extraction

A custom extraction layer reliably parses all 16 booking fields from unstructured customer submissions:

contact details, date, equipment, floor surface, arrangement type, participant count, insurance preference, and more. Zero manual reading.

• Live Pricing & Availability Verification

The current product price is fetched in real time from the live WordPress website. Availability on the

customer's requested date is confirmed via a live calendar integration. The quote always reflects

accurate, current data.

• Conditional Quote Assembly & Delivery

A fully personalised quote is assembled using customer-type logic (B2B vs. B2C), product category,

floor type, and insurance requirements — 6 dynamic sections tailored to each inquiry. Sent immediately;

internal follow-up auto-routed by deal value (under/over DKK 5,000).

Results

• Personalised quotes delivered in under 2 minutes from form submission

• B2B and B2C customers handled correctly and consistently every time

• Live pricing always current — fetched directly from the website at time of processing

• Product availability verified against a live calendar before the quote is sent

• Internal follow-up auto-routed by deal value (under/over DKK 5,000)

Engineering Methods and Capabilities

• • Workflow Automation Platform – Multi-stage automated pipeline: intake, extraction, enrichment, conditional logic, and delivery

• • Email Integration – Automated inquiry detection, personalised quote delivery, and internal follow-up routing by deal value

• • Live Pricing Intelligence – Real-time price extraction from live WordPress product pages — always current, never manually looked up

• • Availability Verification – Real-time calendar integration confirming booking availability at the moment of processing

• • Structured Data Parsing – Custom extraction logic reliably parses 16 booking fields from unstructured customer email input

• • Conditional Logic Engine – 6 dynamic quote sections driven by customer type (B2B/B2C), product, floor surface, insurance, and deal size

Key Insights

Full process automation — not just acceleration — becomes possible when the problem is treated as an engineering challenge rather than a configuration task. 

The decisive work is in the architecture: how data is extracted reliably from unstructured input, how live integrations stay accurate, and how conditional logic handles every business scenario without exception. 

These are engineering decisions, not tool selections — and they determine whether automation runs reliably in production or only works in demos. 

The tooling is secondary. The design is what delivers the result.