In e-commerce, time is more than money – it’s also lost opportunities. When competition never sleeps and you need quick solutions, traditional brainstorming can be too slow. This is where your new digital creative thinking partner steps in – an AI chat powered by data.
AI Chat as an Idea Generator on Steroids
Imagine a tool that generates more hypotheses and concepts in 10 minutes than an entire team during a one-hour meeting. And not just random ideas, but ones based on your business’s real data.
Traditional brainstorming:
- Limited by participants’ knowledge
- Susceptible to “groupthink”
- Inhibited by hierarchy and team dynamics
- Often drifting off-topic
Brainstorming with AI chat:
- Powered by real business data
- Free from biases and office politics
- Unlimited by human creative blocks
- Always focused on the goal
5 Areas Where Chat Will Generate Breakthrough Ideas in 10 Minutes
1. Pricing and Promotional Strategies
If you feed the chat price elasticity data and ask: “Based on this price elasticity data, propose 5 unusual promotional strategies that could increase total margin in the ‘Natural Cosmetics’ category without lowering regular prices.”
Within 30 seconds, you’ll receive a list of ideas such as:
- Bundling products with low elasticity with high elasticity products
- Progressive discounts based on number of products (instead of cart value)
- Time-limited promotion strategies for products with varying elasticity at different times of day
- Personalized discount thresholds based on customer price history
Result: Implementing a modified version of the bundling strategy increased average cart value by 24% while maintaining total margin.
2. Marketing Spend Optimization
If you feed the chat campaign cost and effectiveness data and ask: “Identify 3 non-standard approaches to reallocate budget among these channels that could increase total conversion without raising total spending.”
You’ll receive complex strategies such as:
- Sequential campaign funding from current profits of the most effective channels
- Hybrid model based on weather and day of the week
- Dynamic switching between platforms based on real-time conversion rates
Result: Implementing a simpler version of the sequential model led to an 18% increase in ROAS without additional spending.
3. Assortment Development
If you feed the chat customer interest data and product trends with the question: “Suggest 10 potential new products or line extensions that would fill gaps in the current assortment, based on purchasing patterns and view trends.”
You’ll receive surprisingly precise proposals such as:
- 4 products filling price gaps in popular categories
- 3 variants of well-selling products in other colors/sizes
- 3 completely new products based on cart co-occurrence analysis
Result: Two of the three new products became bestsellers within the first month after introduction.
4. Purchase Path Optimization
If you feed the chat conversion funnel data and ask: “Analyzing this cart abandonment data, suggest 7 non-obvious changes to the checkout process that could reduce abandonment rate.”
You’ll receive a mix of technical and psychological solutions such as:
- Dynamic messages based on time spent considering a purchase
- Personalized free shipping thresholds based on historical price sensitivity
- Alternative step sequences for different customer segments
- Micro-commitment strategies before finalization
Result: Implementing personalized free shipping thresholds reduced cart abandonment by 12%.
5. Customer Experience Personalization
If you feed the chat customer behavior data and ask: “Suggest 5 non-standard customer segments based on this data and unique strategies for engaging each of them.”
You’ll receive non-obvious segments such as:
- “Premium night shoppers” – buying expensive products between 10PM and 2AM
- “Seasonal maximalists” – making large purchases, but only in specific months
- “Novelty hunters” – buying products introduced within the last 14 days
- “Precise selectors” – with low return rates and long decision times
Result: Campaigns targeting these segments achieved 35% higher open rates and 28% higher CTR.
How to Conduct Effective Brainstorming with AI Chat
- Prepare appropriate data – A key step – without data, you’ll only receive generic suggestions. It’s best to use data that’s already grouped into useful thematic sets.
- Start with a broad question – Begin with a general problem or area you want to explore. Instead of “How to increase sports shoe sales?” use a more detailed, data-based question.
- Narrow down and explore the best ideas – Don’t stop at the first answer. Analyze the received ideas and ask deeper questions.
- Ask for opposing perspectives – Force the chat to think critically by asking about potential weaknesses of each idea.
- Quick implementation and testing plan – Finish by asking for practical steps to implement selected ideas.
Remember: Verification is Key!
Ideas generated by AI, even data-based ones, are just hypotheses. They always require verification:
- Feasibility assessment – Do we have the resources and capabilities to implement this?
- Risk analysis – What are the potential negative consequences?
- A/B testing – Test on a small scale before full implementation
- ROI analysis – Do the potential benefits outweigh the costs?
Best Practices for AI Brainstorming
- Avoid general statements – “Increase sales” is not enough. Use specific data and metrics.
- Force creativity – Ask for “non-obvious” or “unusual” ideas to go beyond standard suggestions.
- Combine different data sets – Combining data from different sources leads to the most innovative ideas.
- Record everything – Even seemingly trivial ideas may contain the seed of a breakthrough concept.
- Establish clear evaluation criteria – Before generating ideas, define how you will evaluate them.
Conclusions
AI chat is not a magic crystal ball showing the future, but a tool accelerating the generation and analysis of hypotheses. It’s your cognitive partner that can process vast amounts of data and generate ideas not burdened by human biases and limitations.
In a world where competitive advantage often depends on speed of action, a 10-minute brainstorming session with a data-powered AI chat could be the difference between a seized and a lost opportunity.
Remember, however: AI suggests, humans decide. Verification and critical assessment are essential elements of the process that no algorithm can replace.
You’ll achieve the most valuable results using organized data sets, such as those available in modern e-commerce analytics tools.