Karim Mesloub

Ecommerce strategy & AI · Lovable expert level L5 Diamond · Cybersecurity NSE 3

Business applications that solve real problems. And whose security can be verified.

Karim Mesloub

Custom tools that solve your problems and increase your profitability. Built with verified agentic engineering, without depending on costly software that doesn't fit your business.

Working remotely across France, Belgium, Switzerland, Luxembourg, Quebec, North Africa and West Africa, in French, English and Arabic.

Lovable Partner Program member badgeLovable Expert 2026 badgeFortinet NSE 3 Certified Cybersecurity badge

02 What I do

I build tools where a bad decision costs time, money or trust.

Sales tracking stuck in spreadsheets. Scattered marketplace operations. Reports rebuilt by hand before every meeting.

The need is rarely well defined at the start. That is exactly where I am useful.

Hands drawing a process diagram on a large sheet of paper
Custom business application →

Build and secure

Whoever builds the application knows where it can give way.

I build

Your business applications, your internal tools, your automations, with Lovable.

Lovable expert L5 Diamond

I know where it can give way

Because I built them, I know their weak points from the inside: access, roles, endpoints.

I secure

I test what an automatic scanner does not see, and I prioritize the fixes.

Certified Fortinet NSE 3

03 Security

Who can access your customers' data?

An access flaw knows no borders. Broken Access Control has been the number 1 vulnerability in the OWASP ranking since 2021, and the weak point of no-code applications.

OWASP A01:2025 · Broken Access Control · world's number 1 flaw

Free · no sign up

Free security test

Your report in 30 seconds: what a browser, a search engine and an attacker see without logging in.

  • HTTPS and security headers
  • Exposure of code and secrets
  • Score out of 100, OWASP method

€0 · instant result

Test for free →
Recommended

On assignment · expert certified NSE 3

Security audit

An expert genuinely tries to get in: cross account access, role bypass, endpoints. What an automatic scanner does not see.

  • Real cross account access test
  • Report prioritized by severity
  • OWASP method, Mozilla Observatory scoring

Diagnosis €490 excl. VAT · audit on assignment from €1,499 excl. VAT

Request my audit →

OWASP method · Mozilla Observatory scoring · Expert certified Fortinet NSE 3

04 Built and used

Real tools, used every day.

Before building them for others, I build them for my own operations.

Shipment tracking · 30 days

42Labels
6.58 kgAverage weight
4.8 dAverage time from creation to delivery
14.3%Out-of-zone requests detected

Per hour of creation

9h10h11h12h13h14h15h16h17h18h

Packaging · volumetric penalty

6.1% of parcels penalized€3.28 extra cost2 parcels just above a threshold: €1.13 of potential gain

Top departments

9211.9%
957.1%
937.1%
137.1%

Real project · Cosmos Wave agency, Amazon Verified Partner

Data-driven shipping label generator

Problem

Generate shipping labels with a carrier accessible only via API.

The solution provided

Every label generated surfaces useful data: packaging, destinations, service areas and the team's working hours.

Lovable · Supabase

Read the case study
Shipping box damaged and open, product spilled out, seen from above
Sensor noise: uniform
JPEG compression: consistent
Forensic analysis · Suspicion score 5/100 · No editing detected

Real project · Cosmos Wave agency, Amazon Verified Partner

Customer claims analysis

Problem

Decide quickly and accurately on a claim with photos: refund honest customers, filter out fraud attempts, and understand why the product arrived damaged.

The solution provided

Authenticates claim photos through forensic analysis, qualifies each customer statement, calculates a fraud score, drafts a reply that reveals nothing to fraudsters, and recommends packaging fixes.

Lovable · Supabase · Vision AI

Read the case study

Session of October 1, 2026

1,500+ visuals in 30 min

1,500+completed
30 minsession duration
9.8/10average quality
Long tailautomated keywords
File generatedQuality reportDrive upload

Real project · Cosmos Wave agency, Amazon Verified Partner

WavePix, graphic production studio

Problem

Produce high-quality product visuals at volume for marketplaces, without graphic production becoming a growth bottleneck.

The solution provided

A graphic production studio built for scale: batch visual generation and product staging, automatic quality control, per-market adaptation and keyword analysis.

1,500+
product visuals processed and checked in 30 minutes
more than 4,000
batch visuals
9.8/10
average session quality
Automated keyword research, from brand to long tail

Lovable · Supabase

Read the case study

Prices and margins · 526 SKUs · 10% target

90/100Health score
425≥ 10%
98between 0 and 10%
3loss-making

3 products with negative margin

98 at risk

363 to improve · margin ≥ 15%

82 quick wins · within €0.50 of target

Reference 01€5.96€5.98+€0.02
Reference 02€6.33€6.38+€0.05
Reference 03€3.72€3.77+€0.05

Real project · Cosmos Wave agency, Amazon Verified Partner

Marketplace profitability cockpit

Problem

Know whether each marketplace sale actually makes money, once commissions, VAT and shipping costs are deducted.

The solution provided

Simulates net margin before setting a price, identifies the most profitable batches, flags products below the profitability threshold, and prepares shipping documents.

Lovable · Supabase · Edge Functions

Read the case study
Hand holding a smartphone scanning a product on a shelf

Real project · Internal tool

Scan & Sell

Problem

Decide quickly, in store, whether a product is worth reselling.

The solution provided

Scans a barcode and returns a GO or NO-GO resale verdict based on Amazon data.

PWA · Lovable · Supabase

05 Examples

Concrete examples, one method.

Each example shows the starting problem, the current workflow and the tool that replaces it.

Hands moving a card on a tracking board

01 · Sales

Custom sales CRM

Opportunities, follow-ups and decisions are scattered across spreadsheets, inboxes and individual notes.

Before

Salespeople manually update their rows. The manager consolidates the data before each review and rebuilds the pipeline.

After

A single space to track accounts, contacts, opportunities, next actions and pipeline views based on the team's actual process.

See the example
Folder passed from one hand to another over a desk

02 · Customer service

Client portal

Exchanges, files and approvals get lost between emails and tools with no shared view.

Before

The client asks for a status by email. The team searches for the information, resends documents and maintains several parallel trackers.

After

A secure portal to check progress, submit items, centralize documents and guide next actions.

See the example
Screen displaying a data chart in a dark office

03 · Marketing

Marketing dashboard

Metrics are scattered, defined differently, and assembled by hand before each review.

Before

Each channel produces its own export. One person reconciles the data, fixes the formats, then rebuilds the expected views.

After

A dashboard centered on decisions: defined metrics, useful filters, annotations and views adapted to different roles.

See the example
Gloved hand holding a smartphone on a finishing-trade construction site

04 · Construction

Site logbook: real-time margin

The owner finds out whether a site made or lost money a month after it ends. Hours come in on paper on Fridays, photos stay on phones, materials bought urgently aren't linked to anything, and extra work requested on site is never billed.

Before

Hours logged from memory, scattered photos, unassigned emergency purchases, quotes priced by guesswork.

After

A very simple mobile app for tradespeople, with all the intelligence on the office side.

See the example
Maintenance technician signing on a tablet in a boiler room

05 · Construction

Mobile service report: bill the same day

Technicians fill out paper reports, the office re-enters them at the end of the week, parts used are forgotten and invoices go out late. Without a client signature, some interventions are disputed.

Before

Paper reports, office re-entry, undeclared parts, untraceable equipment history.

After

A mobile service report designed to prepare invoicing and enrich equipment history.

See the example
Document binder in front of a facade being insulated

06 · Construction

Energy renovation: complete grant files the first time

Every project depends on a file: missing documents, rejected paperwork, blocked payments. The team spends its time chasing clients and agencies.

Before

Documents received by email as they come in, tracked in a spreadsheet, manual follow-ups, rejection causes not analyzed.

After

A space where every document has a status, every file has a checklist, and every follow-up has a clear trigger.

See the example

06 Calculator

How much does this problem cost?

Three numbers are enough to estimate the annual cost of a manual task.

01Team
02Time lost

That is 15 hours lost per week for the team.

03Hourly cost

Gross loaded salary divided by hours worked.

Estimated annual cost

Hourly cost not entered.

Estimated annual cost: to be calculated

Monthly cost
n/a
Hours lost per month
60 h
Hours lost per year
720 h
Full time equivalent
0.45 FTE
Refine the calculation →

07 Method

From the problem to deployment.

Karim Mesloub at work in front of his computer
  1. 01

    Step 01

    Problem

    Understand the workflow, the users and the friction.

  2. 02

    Step 02

    Scoping

    Choose the right scope, data and rules.

  3. 03

    Step 03

    Build

    Build a testable tool around the real work.

  4. 04

    Step 04

    Deployment

    Deploy, observe usage and evolve with method.

08 What I build

Six areas, concretely.

01

Business applications

  • Internal tools
  • MVP
  • Client portals
  • API connected interfaces

02

Sales and CRM

  • Custom CRMs
  • Sales tracking
  • Lead qualification
  • Sales workflows

03

Management

  • Dashboards
  • Consolidated reporting
  • Shared indicators
  • Role based views

04

E-commerce and marketplaces

  • Marketplace operations
  • Catalogs
  • Order tracking
  • Seller tools

05

Automation

  • Workflows
  • API integrations
  • Forms to processes
  • Synchronized data

06

Applied AI

  • Business assistants
  • Summarization and research
  • Content generation
  • Controlled limits and sources
Do not start from a prompt. Start from the problem. 

09 Offers

Three ways to move forward.

Learn

Training

Master Lovable through real use cases.

For: consultants, freelancers, teams

Explore training →

Scale

Consulting

Structure, prioritize and deploy the right projects.

For: companies deploying Lovable at scale

Explore consulting →
Karim Mesloub

10 Karim Mesloub

A 360 degree vision, informed decisions.

Before Lovable, there is the business. I run marketing and e-commerce for brands sold on marketplaces: it is this experience in the field that lets me scope a tool before building it.

15+ yearsin business development, operations and marketing
Microsoft Francenearly 5 years, running operations and a team of 19 people
Amazon Verified PartnerCosmos Wave, Amazon Verified Partner

11 Questions

The questions I get asked.

No. A well-described problem, the current workflow and the people involved make a better starting point.

No. The choice depends on the data, the integrations, criticality, the expected security level and the degree of customization.

Yes, after reviewing the product, its architecture and its level of technical debt. The first goal is to understand before changing anything.

12 Contact

A business problem?A tool to build?A team to train?

Every good tool starts with a well defined problem. Let's start there.

Working remotely across France, Belgium, Switzerland, Luxembourg, Quebec, North Africa and West Africa, in French, English and Arabic.

Open notebook and pen on a dark desk

Or by email

me@karimmesloub.com