AI-powered eCommerce platform

Customer Stories

From manual inventory to automated SaaS product infrastructure.

eCommerce

Industry

$50,000–$80,000

Budget

Israel

Location

AI/ML Solutions, AI Ops & MLOps Pipelines, Cloud Architecture, UI/UX Design

Services

Challenge

Client faced growing operational challenges, including a cluttered and duplicate-filled product catalog, manual inventory updates, a slow, unscalable website, and the absence of systems for content reuse or product description automation.

See what we can do for you

Outcomes We Deliver

Solution

We developed a robust AI-powered SaaS infrastructure to support high-scale product management and automate eCommerce operations.

Let’s talk about what’s possible

Tech Stack

To develop a robust AI-powered SaaS infrastructure, Blackthorn AI applied:

TypeScript

Python

Docker

AWS

GitHub Actions

Next.js

TypeScript

Python

Docker

AWS

GitHub Actions

Next.js

Roadmap

Project duration

01 Weeks

Audit & Discovery

Reviewed codebase, assessed catalog inconsistencies, defined SaaS expansion architecture

02-04 Weeks

AI Pipeline for Product Catalog

Implemented deduplication model, image tagging, NLP auto-description engine

04-06 Weeks

Web Refactor & Performance Fixes

Refactored frontend/backend, added caching, CDN, lazy load, and load handling

06-08 Weeks

Inventory Management Layer

Built tracking, forecasting, product variants, supplier controls

08-10 Weeks

SaaS Core Architecture Setup

Built modular backend to support multi-storefront deployments

11 Weeks

Launch & QA

Final tests, UX fixes, deployment

01 Weeks

Audit & Discovery

Reviewed codebase, assessed catalog inconsistencies, defined SaaS expansion architecture

02-04 Weeks

AI Pipeline for Product Catalog

Implemented deduplication model, image tagging, NLP auto-description engine

04-06 Weeks

Web Refactor & Performance Fixes

Refactored frontend/backend, added caching, CDN, lazy load, and load handling

06-08 Weeks

Inventory Management Layer

Built tracking, forecasting, product variants, supplier controls

08-10 Weeks

SaaS Core Architecture Setup

Built modular backend to support multi-storefront deployments

11 Weeks

Launch & QA

Final tests, UX fixes, deployment

Team Size

1 x Project Manager

1 x Fullstack Developer

1 x AI Engineer

1 x UX/UI Designer

4 team members from Blackthorn.ai

1 x Project Manager

1 x Fullstack Developer

1 x AI Engineer

1 x UX/UI Designer

Delivering Impact

Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart

Book a Meeting

>45%

Less manual catalog work

Due to automated tagging, translation & duplication detection

3×

Faster product onboarding

With auto-generated descriptions and category suggestions

~70%

Time saved

On seasonal campaign setup by reusing shared SaaS infrastructure

40%

Performance boost

On refactored storefront

>45%

Less manual catalog work

Due to automated tagging, translation & duplication detection

3×

Faster product onboarding

With auto-generated descriptions and category suggestions

~70%

Time saved

On seasonal campaign setup by reusing shared SaaS infrastructure

40%

Performance boost

On refactored storefront

Discover More Related Customer Stories

CHOOZ

From manual inventory to automated SaaS product infrastructure.

eCommerce

$50,000–$80,000

Israel

AI/ML Solutions, AI Ops & MLOps Pipelines, Cloud Architecture, UI/UX Design

Client faced growing operational challenges, including a cluttered and duplicate-filled product catalog, manual inventory updates, a slow, unscalable website, and the absence of systems for content reuse or product description automation.

Solution

To develop a robust AI-powered SaaS infrastructure, Blackthorn AI applied:

Project duration

01 Weeks

02-04 Weeks

04-06 Weeks

06-08 Weeks

08-10 Weeks

11 Weeks

01 Weeks

02-04 Weeks

04-06 Weeks

06-08 Weeks

08-10 Weeks

11 Weeks

Team Size

Delivering Impact

>45%

3×

~70%

40%

>45%

3×

~70%

40%