Franciszek KołpanowiczEpisteme AII have a plan for using AI in your company

Second day −20%

Sales · Marketing · beginner

AI in E-commerce and B2B Sales

Product descriptions, customer service, campaigns and sales analysis for online shops and B2B distribution.

Gemini · 1 day or 2 days · online or in person

November offer Until 30 November: second training day 20% off. 2-day package: PLN 8,994 instead of PLN 9,994.

Offer terms

For one team of up to 15 people booking two days of the same programme. Booking (written confirmation of the date) by 30 November 2026, delivery by 31 March 2027. Final price, VAT-exempt supply. Travel outside Kraków and the surrounding area is agreed separately.

For your manager

Business objective
Content that does not sound machine-made
Who it is for
online sales and marketplace specialists, B2B sales representatives, foreign market account managers, marketing and e-commerce specialists, sales analysts, and controlling staff
What the team will be able to do
  • Product descriptions in a consistent brand style
  • Response templates for customer service
  • Analysing sales and basket data from shop data
Duration and format
1 day or 2 days, online or at your premises. Exercises on the participants’ own tasks, not examples from the internet.
Tool
Gemini. I run the programme on the tool the company uses or plans to use.
Data security
In every programme: what may be shared with an AI tool and what stays in the company.
Indicative cost
From PLN 4,997 per day of in-company training, up to 15 participants, final price, no VAT added. The final quote depends on the scope, format and location of the training. VAT-exempt supply (Art. 113 of the Polish VAT Act).

Programme

Key information

Duration1 training day (8 hours)
Formatin person, workshop-based

Main tool: Google Gemini (the free version is enough for the training)

Group sizeup to 12 people
Especially recommended foronline sales and marketplace specialists, B2B sales representatives, foreign market account managers, marketing and e-commerce specialists, sales analysts, and controlling staff

Online sales, B2B trade and analytics teams are working with a growing volume of data: sales reports, product descriptions, customer correspondence, competitor information and campaign results. The training shows which of these tasks generative AI genuinely speeds up, and which ones need the output checked before it goes to a customer or into a report.

During the training, participants will find out, among other things:

  • How to build prompts that deliver repeatable results, using the KREDO method
  • How to monitor the market and competitors with Deep Research and recurring tasks
  • How to use AI in marketing tasks and online sales
  • How to analyse sales reports and prepare reports based on them
  • How to design your own AI assistant for the team’s repeatable tasks
  • How to anonymise company and customer data before sharing it with an AI tool

The training is workshop-based. Participants work on demonstration data prepared by the trainer: sales reports, product descriptions, sales documents and campaign data. The main tool is the free version of Google Gemini, so the techniques learned can be applied straight after the training, with no additional licence costs.

Objective

The objective of the training is to familiarise participants with applications of generative AI in online sales, B2B trade and sales data analysis. The programme covers work with Google Gemini: building prompts with the KREDO method, researching the market and competitors, preparing sales and offer content, analysing spreadsheets and reports, and designing custom AI assistants. The training emphasises independent hands-on work by participants at their workstations and critical verification of the results generated by the model. A separate module is devoted to data security, anonymisation and GDPR-compliant working.

Programme

Module 1: The basics of generative AI

  • Sharing participants’ experience
  • Key concepts related to how AI works (prompt, token, hallucination, context)
  • How to act in the face of false content created by AI
  • Comparison of the key AI tools and where Gemini stands among them
  • Fast models versus advanced reasoning models: when to use which

Module 2: Prompt engineering: the KREDO method

  • Anatomy of an effective prompt, the KREDO model
  • Starting techniques, asking AI questions, generating variants, correcting responses
  • Building prompts for sales and analytical scenarios
  • The “one conversation, one thread” rule
  • Global instruction: standing guidelines that Gemini takes into account in every subsequent conversation

Module 3: Market and competitor monitoring

  • Deep Research, an in-depth analysis of the market, the industry and competitors
  • Scheduled actions in Gemini, automatic monitoring of selected websites and topics
  • Vetting counterparties and researching competitors’ product ranges and pricing policies
  • Building a market and client brief before the first contact
  • Critically verifying sources in a Deep Research report

Module 4: AI applications in marketing and e-commerce

  • Product descriptions and sales content optimised for search engines, keyword selection and description structure
  • Analysis of the purchase journey, messaging to recover abandoned baskets and proposals for changes to the shop interface
  • Simulations of promotions and their impact on sales and margin using demonstration data
  • Demand and seasonality estimation as scenario analysis on historical data
  • Preparing campaign content and message variants for different audience groups
  • Evaluating campaign results and drawing conclusions from performance reports

Module 5: Working with offers, documents and data

  • Analysis of sales reports from spreadsheet files: trends, comparisons, conclusions
  • Generating spreadsheet formulas from a description in natural language
  • Preparing and refining offer content for a specific recipient
  • Analysis of commercial documents, contracts, price lists and terms of cooperation
  • Canvas: interactive work on a document, changing the length, style and tone of a text
  • Critical verification of results: when AI is right, when it is wrong, when it makes up figures

Module 6: Introduction to AI assistants

  • What assistants (Gems) are and how they differ from a single prompt
  • Components of an assistant: system instruction, knowledge base, user command
  • Designing an assistant tailored to the participant’s everyday tasks
  • Assistant knowledge base built from demonstration materials: price lists, product descriptions, offer templates
  • Exercise: each participant designs and tests their own assistant

Module 7: Security, anonymisation and GDPR

  • What may and may not be entered into a public AI tool
  • Anonymisation and pseudonymisation of company and counterparty data (tax ID (NIP), surnames, amounts, personal data)
  • Working with customers’ and employees’ personal data under the GDPR: what is and is not permitted
  • Hallucinations when working with numbers and dates: how to recognise and verify them
  • Privacy and activity settings in Gemini
  • Ethics of using AI in communication with customers and within the organisation
  • Questions and answers

Trainer

Franciszek Kolpanowicz: entrepreneur and certified AI trainer who helps leaders and teams boost effectiveness through intelligent technologies. He has been published in Rzeczpospolita, among others. He has over 2,300 hours of work with generative AI and over 2,000 hours of working with training groups, and shares his knowledge at public events, including the “Manager in the Age of AI” training organised by Rzeczpospolita, as well as at the UKEN and PASE conferences.

His background in philosophy (Jagiellonian University) and his experience in IT quality control allow him to combine analytical thinking with asking the right questions. His own practical journey with AI showed him how this technology can become a real lever for growth.

Drawing on hands-on experience, he shows leaders and their teams how to use AI not only to work more efficiently but also to think more clearly and make faster business decisions. His AI training has, among other results, cut the time needed for routine analysis of multi-page legal documentation by 80%.

In his training sessions he pays particular attention to the participants themselves, drawing on their experience and needs as the work progresses. As a result, his sessions are not repetitive routine but an enriching and individual experience.

His mission is to make artificial intelligence a practical tool for development: business, intellectual and cultural.

Prerequisites

The training does not require any previous experience with AI tools. On the participants’ side, the following must be provided:

  • A computer workstation for each participant, one laptop per person, not shared
  • A Google account with access to Gemini (gemini.google.com); the free version is enough for the training
  • Login checked in advance on the device the participant will work on
  • Basic use of a browser and a spreadsheet

Organisational requirements on the client’s side

  • Before the training, each participant has a Google account with access to Gemini that has been set up and tested
  • Login checked in advance on the device the participant will work on
  • One workstation per person, a laptop for every participant, no sharing
  • Stable Wi-Fi in the room, sufficient for 12 people working at the same time
  • A projector or large screen for the trainer’s presentation
  • A room suitable for workshop-style work, with tables and space for notes
  • A flipchart or whiteboard with markers

Methodological note: the training works with a single tool, Gemini, so that within eight hours participants can genuinely master how to use it in the context of their own work, rather than merely see a few demonstrations.

Exercises are carried out on demonstration data prepared by the trainer. No real sales, financial or personal data is entered into a public, free AI tool. Participants may bring their own anonymised examples from work.

To be confirmed before the training

Access and accounts:

  • Does each participant have a personal (not shared) Google account with access to Gemini at gemini.google.com?
  • Do participants work on accounts in the organisation’s Google Workspace domain? In Workspace, access to Gemini may be disabled or restricted by the administrator, and the range of features depends on the plan level
  • Is the Deep Research feature available on participants’ accounts? The free version has a monthly limit on reports, which is sufficient for the exercises, but it is worth checking availability before the training
  • Is access to Gemini blocked by IT policy or the company firewall?
  • Is Gemini enabled in the Google Workspace apps (Gmail, Drive, Docs, Sheets)? If so, work with files can be extended to the side panels of those apps

Participants’ technical readiness (CRITICAL):

  • Each participant arrives with an account already logged in on their own laptop; we do not set up accounts in the training room
  • Pre-training test: each participant opens Gemini and verifies that they can ask a question and receive an answer
  • If any participant does not have access, please let us know in advance and we will prepare an alternative way of working

Infrastructure:

  • Stable Wi-Fi tested under load (12 people working in the browser at the same time)

Materials for the exercises:

  • Will the company provide its own anonymised offer and product description templates to use during the exercises?
  • Should the scope be narrowed to a specific department (online sales, B2B trade, controlling)? The exercise scenarios will then be tailored to that department

Request a training proposal

I will tailor the programme to the team and send a quote within one working day.

Programme: AI in E-commerce and B2B Sales