Frequently Asked Questions

Most clients begin observing meaningful insights within the first week of implementation. Once your data sources are connected, the platform starts processing feedback immediately. Initial sentiment trends and basic analytics are available within 24-48 hours, while more comprehensive patterns and actionable recommendations typically emerge within 5-7 days as the system learns from your data.

Absolutely. We employ enterprise-grade security measures including data encryption, secure data centres, and regular security audits. Our platform is fully compliant with GDPR, and we maintain strict data protection protocols. All customer data is processed in accordance with European data protection standards, and we never share or sell your data to third parties.

Yes, our platform is designed for seamless integration with popular retail management systems, e-commerce platforms, and customer communication tools. We support APIs for major platforms and can work with your technical team to establish custom integrations if needed. Our implementation team handles the technical setup to ensure minimal disruption to your operations.

You'll receive comprehensive sentiment analysis, trend identification, satisfaction metrics, and prioritised action recommendations. The platform identifies specific areas for improvement, highlights emerging issues before they become problems, tracks the impact of changes you implement, and provides benchmark comparisons to help you understand your performance relative to industry standards.

Yes, we provide comprehensive training during implementation and ongoing support thereafter. This includes initial platform training for your team, regular check-ins to optimise your usage, access to our support team for technical questions, and quarterly reviews to ensure you're maximising the platform's value for your business.

Our pricing is tailored to your business size and requirements. We offer flexible packages ranging from starter solutions for small retailers to enterprise-level platforms for large operations. Pricing factors include data volume, number of integration points, and level of support required. Contact us for a personalised quote based on your specific needs.

Our sentiment analysis uses advanced natural language processing and machine learning algorithms specifically trained for retail contexts. The technology analyses text from reviews, surveys, social media, and other feedback sources to understand not just whether sentiment is positive or negative, but also the emotional intensity, specific topics mentioned, and contextual factors that influence customer satisfaction.

Absolutely. Our dashboard is highly customisable to match your business requirements and preferences. You can create custom views for different team members, set up automated alerts for specific metrics, configure reports that align with your business KPIs, and adjust the interface to focus on the data most relevant to your decision-making processes.