Revuze
Revuze empowers brands with next-step actions, from the category down to the SKU level, to streamline research across all products, drive product innovation, enhance marketing effectiveness, and optimize eCommerce performance.
Leveraging advanced AI and machine learning, we transform e-comm, social and survey data into a unified Voice of Customer (VoC), with the highest level of accuracy and integrity, resulting in products that consumers love and appreciate.
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Competera
Competera enhances retailers’ profitability and customer loyalty by leveraging AI to set optimal, customer-centric prices in real time. Our all-in-one platform combines Competitive Data and the Pricing Platform to meet all pricing needs.
• Competitive Data provides real-time, high-quality market insights with a 98% SLA, offering a 360-degree market view to uncover trends and optimize pricing strategies.
• Pricing Platform utilizes Contextual AI with over 20 demand drivers to deliver real-time pricing optimization across all products and channels. Retailers can make data-driven decisions with 95% accuracy, increase basket value, and achieve up to a 6% gross margin uplift.
Our platform reduces the pricing team’s workload by up to 70%, allowing retailers to focus on strategic initiatives. The cost depends on the number of SKUs managed, deployment scale, and product configuration.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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Semeon Analytics
Semeon can help you understand and prioritize large-scale employee, customer and marketplace feedback data from anywhere like social, surveys, reviews and CRM data. Our platform automatically extracts the most relevant multi-word concepts from your data, measures sentiment and generates insightful dashboards.
Available in 10+ native languages, government entities, security and defense agencies, brands and organizations around the world rely on Semeon’s technology to improve customer experience and citizens’ life, reduce operational costs and drive growth.
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