Work & case studies

Business problems, solved with the right technology.

Each case study follows the same thread: the business context, the challenge, how we analysed it, what we built — and what changed.

Case 01Services / Real EstateAI Automation Software Development

WhatsApp lead handling & CRM automation

A multi-location services business receiving enquiries from ads, the website and walk-ins.

The challenge & its impact

Enquiries arrived on WhatsApp, calls and forms and were tracked by hand. Responses were slow outside office hours, and follow-ups depended on individual executives.

Leads went cold before anyone replied, and management had no reliable view of the pipeline.

How we analysed it

Mapped every lead source and how each enquiry was handled today
Identified the questions the team answered repeatedly
Defined qualification rules and hand-off points to sales

Solution & implementation

WhatsApp Business API bot for instant replies and qualification
Leads created automatically in a custom CRM with source tracking
Rule-based assignment, reminders and scheduled follow-up messages
Dashboard for pipeline, response status and team activity

Instant WhatsApp reply & qualification

Lead auto-created and assigned in CRM

Scheduled follow-ups, visible pipeline

Enquiries scattered across WhatsApp chats

Leads copied into a spreadsheet by hand

Follow-ups depend on someone remembering

BeforeAfter

Illustration of the process before and after. Drag or use arrow keys to compare.

Technology

WhatsApp Business API
Node.js
Express
MongoDB
React

What changed for the business

Every enquiry gets an immediate, consistent first response
Follow-ups run on a schedule instead of relying on memory
Management sees the full pipeline in one place

Case 02Customer ServiceAI Automation Application Development

Multilingual AI voice agent for inbound calls

A customer-facing business whose phone lines were busy with routine questions and bookings.

The challenge & its impact

Staff spent most of the day on repetitive calls — timings, status checks and bookings — in several languages, and calls were missed at peak times.

Missed calls meant missed business, and skilled staff were tied up on routine questions.

How we analysed it

Categorised call types by frequency and complexity
Assessed speech-to-text and voice options for the languages required
Defined what the agent may answer, and when it must transfer

Solution & implementation

AI voice agent handling FAQs, status checks and appointment booking
Language detection with responses in the caller’s language
Warm transfer to staff with a call summary
Call logs and summaries pushed to the business system

Voice agent answers in the caller’s language

Complex calls transferred with context

Every call summarised and logged

Calls missed at peak hours

Staff repeat the same answers all day

No record of what customers asked

BeforeAfter

Illustration of the process before and after. Drag or use arrow keys to compare.

Technology

LLM
Speech-to-text
Text-to-speech
Telephony API
Node.js

What changed for the business

Routine calls are answered at any hour
Staff focus on calls that genuinely need a person
Every call leaves a searchable summary

Case 03ManufacturingSoftware Development Application Development

Factory operations & production management system

A manufacturing unit tracking orders, materials and production stages on paper and spreadsheets.

The challenge & its impact

Order status lived in registers and phone calls to the floor. Inventory mismatches delayed production, and management could not see bottlenecks until they became problems.

Planning was reactive, and customers waited for answers the business did not have to hand.

How we analysed it

Walked through each production stage with supervisors
Documented roles, approvals and data captured at every step
Prioritised modules by how much manual work they removed

Solution & implementation

Custom production-stage tracking with role-based access
Inventory and material requirement management
Order tracking and dispatch module
Management dashboard with live status and alerts

Technology

React
Vite
Node.js
Express
MongoDB
AWS

What changed for the business

One source of truth for orders, materials and stages
Supervisors update status from the floor instead of on paper
Management sees bottlenecks as they form

Case 04Professional ServicesWebsite Development

Business website rebuild for clarity and enquiries

An established company with an outdated website that did not reflect its capabilities.

The challenge & its impact

The old site was slow on mobile, hard to update and did not explain the company’s services clearly — so it generated few meaningful enquiries.

The website undersold the business to every prospect who visited it.

How we analysed it

Reviewed audience, services and existing search visibility
Rebuilt the sitemap around what customers look for
Planned redirects to protect existing rankings

Solution & implementation

New content structure and design system
Server-rendered, mobile-first build
SEO metadata, sitemap and structured data
Enquiry form connected to the team’s inbox and CRM

Fast, server-rendered, mobile-first

Clear service pages with SEO foundations

Enquiries routed to the right person

Hard to use on mobile

Services unclear, poor search visibility

Every text change needs a developer

BeforeAfter

Illustration of the process before and after. Drag or use arrow keys to compare.

Technology

React
Vike
Tailwind CSS
Node.js

What changed for the business

Clear service pages that answer customer questions
Fast, responsive experience on every device
Enquiries reach the right person automatically

Your business could be the next case study.

Start a conversation. Tell us what is slowing your business down — we will tell you honestly how technology can help, and what it would take.

Start a Conversation

contact@4lancers.com