Consulting / Services

AI consulting for marketing and e-commerce

An AI project starts with a business task and an evaluation method. I help marketing and e-commerce teams select useful applications, assess data readiness and design pilots where quality, economics and human responsibility can be examined together.

Discuss this project

Eugene Mischenko · English & Russian · Online / Yerevan

01 / Context

Who this is for

For commercial and marketing leaders evaluating language models for content workflows, customer segmentation, knowledge support, personalization or service operations.

02 / Decisions

Questions we examine

  • Which recurring task has enough value and a measurable quality standard?
  • What errors are costly, and which outputs need human review?
  • What does the pilot cost after integration, evaluation and ongoing review are included?

What the work can produce

  1. A shortlist of use cases assessed by business value, feasibility and data requirements.
  2. A pilot brief covering baseline, test examples, acceptance criteria and human review.
  3. A decision framework for expanding, revising or stopping the pilot based on observed results.

The final deliverables are agreed for your business and engagement.

What to prepare

Describe the workflow, its volume, the people involved and what a good result looks like. Representative, appropriately redacted examples are more useful than a broad request to “add AI”. Data permissions and access are agreed before evaluation.

How we start

Send a short description of the business, the decision in front of you and the result you need. We discuss the context, identify useful inputs and agree the format, scope, timing and fee.

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Experience & sources

Experience behind the advice

Published research on LLMs in marketing

Research includes customer segmentation, marketing communication and applications of language models during the purchase stage. The catalogue links to original papers and DOI records.

Published research on LLMs in marketing

Russian-Armenian University

Senior Lecturer in the Department of Management and Business, Institute of Economics and Business, teaching electronic commerce, digital marketing and strategic marketing to bachelor’s and master’s students.

Russian-Armenian University

METRO: e-commerce leadership

Experience leading the e-commerce division at METRO Cash & Carry. A published Mindbox interview discusses customer data, the digital channel and the business behind omnichannel retail.

Read the source
Eugene Mischenko: career, teaching and research

Before we begin

Is the work tied to one AI vendor?

We define the task and its evaluation criteria, then choose models and tools against your requirements for quality, data handling, integration and cost.

How does the research relate to consulting?

Published work provides a foundation for examining segmentation, communication and customer decisions. A specific business application still needs its own data, baseline and evaluation; a publication is not proof that a pilot will work in every company.

Related decisions & reading