Artificial Intelligence is crucial in enhancing price accuracy in medical device companies, consumer healthcare enterprises, and pharmaceutical firms.
Medical device companies, consumer healthcare enterprises, and pharmaceutical firms frequently encounter the challenge of setting accurate prices for their products and services. This entails making strategic decisions on establishing prices fairly and competitively, considering factors such as production costs, market demand, and competition.
Price accuracy in medical device companies, consumer healthcare enterprises, and pharmaceutical firms is crucial for several reasons:
■ Competitiveness: Establishing precise and competitive prices is essential to thrive in an increasingly competitive market. Customers compare prices of different products and services before making a purchase decision.
■ Profitability: Setting the correct prices enables companies to gain profits and maximize their profitability. Too low a price can result in losses, while too high a price can deter customers and decrease sales.
■ Perception of value: Accurate and fair pricing helps consumers perceive the value of products and services. If prices do not align with the quality or benefits they offer, customers may lose trust in the company.
Artificial Intelligence (AI) can analyze large volumes of data, such as production costs, market demand, and competition, to assist companies in establishing more accurate and evidence-based pricing.
AI can help segment customers into specific groups based on their willingness to pay, enabling companies to offer customized prices to different market segments.
In the digital age, speed and flexibility in adjusting prices in response to market fluctuations are critical. AI continuously monitors the market environment, including competitors' actions, regulatory changes, and global or local economic trends. This allows companies to adjust their pricing strategies in real-time to respond to unforeseen events or to capitalize on emerging opportunities (4).
In this case, a conversational assistant specialized in pharmaceutical price optimization has been trained using a comprehensive database from SISMED in Colombia (4). This assistant can analyze historical and current trends, identify patterns, and anticipate changes in market behavior that may influence pricing decisions.