Processes: tracking and analysing competitor actions and market positioning across various categories (e.g., pricing, strategy, or financials).
Problem: time-consuming, reactive process reliant on limited data sources, resulting in delayed identification of emerging threats and missed opportunities, particularly when planning complex moves like overseas market entry.
Use case: AI models use techniques like Natural Language Processing (NLP) and data aggregation to continuously map and monitor hundreds of competitors across multiple data points (e.g., pricing, financials, talent, and marketing). This provides proactive, real-time insights into market movements, threats, and actionable competitive opportunities.
Case-study: for a consumer products company planning overseas expansion, we used AI to conduct a comprehensive competitive analysis across the target market. The AI monitored hundreds of competitors, leveraging NLP and data aggregation to deliver detailed insights into pricing strategies and market messaging. This provided the intelligence needed to inform the marketing mix and market entry strategy.