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Corporate Program
🛍️

AI in Retail & E-commerce

Retail AI Specialist

Master recommendation, forecasting and search like Trendyol, Hepsiburada and Migros use.

Trendyol, Hepsiburada, Migros, A101 do internal training; no public training. Covers recommendation systems, demand forecasting, dynamic pricing, search relevance, AI-driven product descriptions, churn & LTV and visual search.

Quick Facts

Duration
6 weeks
Level
Intermediate
Micro-Trainings
9
Total Hours
48

Why This Program for Your Company

Talent Development

Grow your in-house teams; reduce vendor and outsourcing dependency

Fast Time-to-Value

Built for a 90-day pilot-to-production trajectory

Measurable ROI

Before/after capability report + KPI dashboard with tangible outcomes

AI Culture

AI adoption across all levels — from executive to engineer

Delivery Models

Choose the delivery format that fits your team

On-site

At your company location, closed group

Hybrid

Online + periodic in-person intensives

Fully Remote

Live remote + recordings + lab notebooks

Train-the-Trainer

Build in-house trainers — long-term scaling

Tailored to Your Company

Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.

Lab Environment

Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset

Post-Training Support

30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support

Why Now? — Türkiye's Empty Market

No public retail AI training in Turkish. Profile demand high with e-commerce boom.

About the Program

Target Teams

  • E-commerce tech teams
  • Marketing analytics specialists
  • Search & recommendation engineers
  • Retail digital teams

Your Team's Outcomes

  • Recommendation systems (collaborative + content + LLM)
  • Production demand forecasting system
  • Dynamic pricing model
  • Search relevance improvement
  • Visual search integration

Prerequisites

  • No special prerequisites — open to all skill levels.

Trainings in this Program

9 modules / micro-trainings

  1. 01

    Recommendation Systems

  2. 02

    Demand Forecasting

  3. 03

    Dynamic Pricing

  4. 04

    Search Relevance (Trendyol/Hepsiburada Cases)

  5. 05

    AI-Driven Product Description Generation

  6. 06

    Churn & LTV Analysis

  7. 07

    Visual Search

  8. 08

    Customer Support AI Agent

  9. 09

    Capstone: Retail AI POC

Capstone Project

AI POC for a retail scenario: recommendation engine or demand forecasting — with A/B test plan and uplift calculation.

How We Work

From discovery to delivery and post-training follow-up

  1. 1

    Discovery

    Free 30min — team capability map, use case discovery, goal setting

  2. 2

    Design

    Custom curriculum, lab scenarios and delivery timeline for your use cases

  3. 3

    Delivery

    Live training + hands-on labs + capstone project + completion certificate

  4. 4

    Follow-up

    Capability report + 30-day support + optional monthly check-in sessions

Career Path

Positions you can target after this program

Retail AI SpecialistE-commerce tech teamsMarketing analytics specialistsSearch & recommendation engineers

Tech Stack & Topics

retailecommercerecommendationforecastingpricingsearch

Frequently Asked Questions

How do enrollment and participant selection work?

In the discovery call we map your team capability and define the right participant profile (role, level, prior knowledge). Standard packages serve 5-15 participants, corporate packages 15-40; larger groups run as multi-cohort schedules.

How is pricing structured?

Pricing depends on participant count, duration, customization depth, delivery model (on-site / hybrid / remote) and post-support scope. A custom quote is provided after discovery. Multi-year partnership discounts available.

Can the curriculum be customized for our use cases?

Yes. After discovery every program is tailored to your industry, regulatory framework (KVKK, BDDK, EU AI Act etc.), data structure, tech stack and target use cases. Labs can run on your existing systems or company data under NDA.

On-site or remote?

Both. Choose in-person (at your location — Istanbul, Ankara, Izmir, Bursa, Antalya and other cities), fully online, or hybrid (online + condensed in-person).

Is post-training support included?

Standard package includes 30 days async support (Slack/Teams/Discord channel). Extended options: monthly follow-up sessions, code review support, mentorship package and quarterly business review.

Are certificates provided?

Yes — each participant receives a verifiable URL certificate, and the company gets a before/after capability report and training ROI dossier.

Who is this program for?

E-commerce tech teams • Marketing analytics specialists • Search & recommendation engineers • Retail digital teams

What will I learn?

Recommendation systems (collaborative + content + LLM) • Production demand forecasting system • Dynamic pricing model • Search relevance improvement • Visual search integration

What is the duration and format?

6 weeks · 48 hours · Cohort-based

What are the prerequisites?

No special prerequisites — open to all skill levels.

Which positions does this program prepare me for?

Retail AI Specialist — Recommendation systems (collaborative + content + LLM) • Production demand forecasting system • Dynamic pricing model

Why is this program needed in Türkiye?

No public retail AI training in Turkish. Profile demand high with e-commerce boom.

Bring This Program to Your Team

In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.