Join us to learn how to make your Q-Commerce business profitable!
8 October 2025
UAE, Dubai, One Central Building 5
On-site workshop
How to Make a Q-Commerce Business Profitable: Boosting EBITDA and P&L
How to Make a Q-Commerce Business Profitable: Boosting EBITDA and P&L
About the Workshop
Q-commerce scaled fast. Profit didn’t. Over 80% of players never reach breakeven because unit economics are weak and discounts eat the margin.
This workshop fixes the profit engine. We will work in groups and show you how to:
You will receive a clear framework for your work, a playbook, and a 30-day action plan to turn volume into margin.
This workshop fixes the profit engine. We will work in groups and show you how to:
- Price for contribution margin, not vanity GMV
- Expose the real cost drivers across picking, delivery and returns
- Reset SLAs and assortment so every order adds to EBITDA
- Deploy analytics & AI where they move the P&L — and stop where they don’t
- Project defense
You will receive a clear framework for your work, a playbook, and a 30-day action plan to turn volume into margin.
Agenda
09:00–10:00
09:00–10:00
Coffee break
How To Make Q-Commerce Profitable
Maria Markova,
Partner Happiness Manager,
Yango Retail /Tech
Partner Happiness Manager,
Yango Retail /Tech
Lunch Break
Building GTM Strategy With AI
Jane Sharavova,
Head of Implementation in Mena & Latam,
Yango Retail /Tech
Head of Implementation in Mena & Latam,
Yango Retail /Tech
Super Speaker from Insead
Dr. Anton S. Ovchinnikov
Networking
Associate Professor of Decision Sciences, INSEAD
Dr. Anton S. Ovchinnikov
Super-speaker
Anton is a global expert at the intersection of decision sciences, operations, marketing, and economics. He earned a PhD in Operations Management from the University of Toronto and an economics degree in Krasnoyarsk. Before INSEAD he taught at the Darden School of Business (University of Virginia) and at Smith School of Business (Queen’s University, Canada; currently on leave).
Under his leadership, Smith School received the prestigious UPS Prize (INFORMS) for the best curriculum in analytics & AI. His work appears in Management Science, Operations Research, MSOM, POM, and practitioner outlets including Harvard Business Review. Anton teaches data-driven decision making, data analytics, AI (incl. GenAI) and pricing analytics in MBA/GEMBA, co-leads Strategic Decision Making for Leaders and AI for Boards, and designs custom executive programs worldwide.
He has twice been Faculty of the Year (Master in Management Analytics, Smith), is a three-time INFORMS Case Competition winner, a Case Centre best-selling author, and his research has been recognized among UNESCO IRCAI Top-100 AI projects. Beyond academia, Anton leads a consulting practice and has worked with leading banks, insurers, energy, resources, manufacturing, FMCG and top retailers, airlines, technology firms, legal practices, and public agencies.
Under his leadership, Smith School received the prestigious UPS Prize (INFORMS) for the best curriculum in analytics & AI. His work appears in Management Science, Operations Research, MSOM, POM, and practitioner outlets including Harvard Business Review. Anton teaches data-driven decision making, data analytics, AI (incl. GenAI) and pricing analytics in MBA/GEMBA, co-leads Strategic Decision Making for Leaders and AI for Boards, and designs custom executive programs worldwide.
He has twice been Faculty of the Year (Master in Management Analytics, Smith), is a three-time INFORMS Case Competition winner, a Case Centre best-selling author, and his research has been recognized among UNESCO IRCAI Top-100 AI projects. Beyond academia, Anton leads a consulting practice and has worked with leading banks, insurers, energy, resources, manufacturing, FMCG and top retailers, airlines, technology firms, legal practices, and public agencies.
Other speakers
-
Jane SharavovaHead of Implementation in Mena & Latam,
Yango Retail /Tech -
Maria MarkovaPartner Happiness Manager,
Yango Retail /Tech
Why Attend This
Exclusive Event?
Exclusive Event?
- Specific tools for profit growth
- Recommendations for automation and cost reduction
- Real-life case studies with results
- Opportunity to ask questions to a global expert
Who Should Attend
Seniority: C-suite & C-1/2
Functions: E-com, Ops, Logistics, Category, Finance, Commercial, Marketing/CRM, IT/Data/AI
Sectors: Food & non-food retail, marketplaces, Q-commerce
Functions: E-com, Ops, Logistics, Category, Finance, Commercial, Marketing/CRM, IT/Data/AI
Sectors: Food & non-food retail, marketplaces, Q-commerce
Apply for registration, after submitting the application, managers will contact you.
Registration is mandatory for all participants of the meeting
Registration is mandatory for all participants of the meeting
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