Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms
Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.
Actowiz Solutions analyzed Amazon, Walmart, and Target reviews using NLP to predict product trends and consumer satisfaction across U.S. eCommerce platforms.
Product reviews reflect real consumer experiences and strongly influence future purchases. Platforms like Amazon, Walmart, and Target provide thousands of reviews daily—yet few brands leverage this data for predictive product planning and trend forecasting.
A U.S.-based CPG brand collaborated with Actowiz Solutions to deploy a review sentiment analysis engine across multiple platforms, using customer language to predict satisfaction, identify feature gaps, and prioritize product improvements.
Platform | SKU | Rating | Sentiment | Key Phrase | Volume |
---|---|---|---|---|---|
Amazon | Protein Bar A | 4.5 | 🟢 Positive | "great taste" | 1,124 |
Walmart | Detergent X | 3.9 | 🔴 Negative | "leaked in package" | 328 |
Target | Cereal B | 4.1 | 🟠 Neutral | "too sweet" | 211 |
“Actowiz turned review noise into insights. Now we prioritize product changes based on what real customers are saying—not just star ratings.”
— Head of Product Innovation, U.S. CPG Brand
Review sentiment is more than customer feedback—it’s product intelligence. Actowiz Solutions transformed thousands of fragmented reviews into strategic insights, helping brands align better with customer expectations, boost product satisfaction, and stay ahead of competition.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.