SurrealDB empowers some of the world's most forward-thinking organisations to tackle complex challenges, streamline operations, and unlock new possibilities with data. From leveraging AI-driven insights to optimising infrastructure, discover how SurrealDB delivers real-world impact at scale.
Industry: Telecommunications
Technicians served: 10,000
One of the largest U.S. telecommunications companies turned to SurrealDB to build a generative AI assistant to support its 10,000 field technicians. With SurrealDB's unified data platform, technicians gain instant access to technical documentation, real-time outage updates, and troubleshooting workflows, significantly improving field operations.
Field technicians struggled to access critical documentation and troubleshooting workflows, leading to delays in resolving issues.
Technical information was scattered across multiple platforms, making it difficult to retrieve up-to-date and relevant details.
Extended resolution times negatively impacted customers, resulting in lower satisfaction and increased churn rates.
New technicians required months of training to familiarise themselves with the company's processes and systems.
Built a generative AI assistant on SurrealDB's unified data platform, offering technicians instant access to documentation, outage updates, and workflows.
Combined relational, document, and graph data into a single platform, reducing the need to switch between multiple systems.
Ensured technicians received real-time information on outages and service disruptions, allowing them to respond faster and more effectively.
Used AI-powered insights to provide personalised learning paths for new technicians, reducing onboarding time by 50%.
Average response times were reduced by 40%, leading to quicker service restorations and improved customer satisfaction.
Technicians spent less time searching for information, enabling them to complete more jobs per day.
By automating knowledge-sharing, the company saved on training expenses while improving technician competency.
By automating knowledge-sharing, the company saved on training expenses while improving technician competency.
SurrealDB's ability to merge multiple data models into one platform enabled the telecom provider to build a powerful and responsive AI assistant while reducing development complexity.
Industry: Consumer electronics
Focus: Advertising and marketing
To improve its ad division's ability to understand and target audiences, a global consumer electronics company built a knowledge graph powered by SurrealDB. This advanced solution integrates key-value and graph capabilities to offer unprecedented audience insights and enable real-time ad targeting.
Marketing teams faced long wait times to retrieve audience insights, limiting their ability to make timely decisions.
Customer profiles and behavior data were stored in siloed systems, making it difficult to build a unified view of target audiences.
Inability to segment audiences effectively resulted in high ad spend with suboptimal returns.
Existing analytics platforms were rigid and unable to adapt to the company's evolving marketing strategies.
Used SurrealDB's graph database capabilities to create a knowledge graph that linked audience data across platforms.
Enhanced data querying speeds with SurrealDB's key-value capabilities, enabling marketers to retrieve insights in seconds.
Developed tools for dynamic audience segmentation and real-time campaign performance tracking.
Replaced legacy systems with a unified SurrealDB platform, simplifying data management and reducing costs.
Precise audience targeting increased ROI by 25%, saving millions in annual ad spend.
Query times were reduced from hours to seconds, allowing for real-time campaign adjustments.
Eliminated the need for multiple analytics platforms, cutting operational costs by 30%.
Unified data provided a 360-degree view of customers, enabling deeper personalisation and engagement.
The platform's flexible data model and advanced querying capabilities provided the agility needed to build and maintain knowledge graphs for dynamic marketing strategies.
Industry: Retail
Revenue: $6 Billion Annually
Facing fierce competition in the online luxury retail space, a leading U.S. retailer sought to enhance customer engagement and drive higher conversions. Using SurrealDB's vector search and graph capabilities, the retailer integrated AI-powered large language models (LLMs) into its e-commerce platform to deliver real-time, hyper-personalised product recommendations.
Despite significant web traffic, conversion rates were stagnant at 1.5%, far below industry benchmarks for luxury retail.
Generic product recommendations led to disengaged customers and missed opportunities to upsell or cross-sell.
Seasonal spikes in shopping activity often overwhelmed the existing infrastructure, resulting in slow response times and reduced customer satisfaction.
Customer preferences and purchase behavior were spread across siloed systems, making it difficult to create a unified view of each shopper.
Leveraged SurrealDB's vector search and graph capabilities to implement large language models (LLMs) that analyse customer behavior and preferences in real time.
Unified customer data from multiple touchpoints into a single, scalable platform, enabling instant recommendations tailored to individual shoppers.
Ensured that the solution could handle millions of concurrent users without compromising performance, even during peak shopping periods like Black Friday.
Used graph database features to map customer relationships, such as previous purchases, browsing history, and abandoned carts, creating a more holistic understanding of customer intent.
Conversion rates improved from 1.5% to 4%, representing a significant uplift in revenue.
The improvement translated to millions of dollars in additional annual revenue.
Personalised experiences fostered customer loyalty, with repeat purchases increasing by 30%.
During the holiday season, the platform processed record-breaking traffic without downtime or lag, enhancing customer trust.
SurrealDB's advanced graph capabilities enabled deep analysis of customer purchase behavior, while its vector search feature unlocked precision AI recommendations that kept shoppers engaged and returning.
Industry: Manufacturing
Processes automated: 90%
A global manufacturing leader needed to streamline its supply chain operations to address inefficiencies and rising costs. SurrealDB powered an AI-driven copilot to provide real-time predictions, automate processes, and reduce delays across global supply chain networks.
Managing a vast global network of suppliers, warehouses, and distribution centers required extensive manual coordination, leading to inefficiencies.
Fluctuating customer demand often resulted in overstocking or stockouts, impacting profitability and customer satisfaction.
Delayed data processing hindered the company's ability to respond quickly to disruptions, such as supplier delays or transportation issues.
Rising operational costs necessitated a more efficient and automated approach to supply chain management.
Implemented an AI-powered copilot built on SurrealDB to analyse supply chain data in real time and automate decision-making processes.
Used LLM-based predictions to anticipate demand fluctuations and optimise inventory levels accordingly.
Automated 90% of supply chain workflows, including supplier communications, inventory replenishment, and logistics coordination.
Leveraged real-time data insights to predict and mitigate potential disruptions before they escalated.
Automation reduced manual intervention, saving thousands of employee hours annually.
Lowered supply chain operating costs by 20%, contributing significantly to the company's bottom line.
Streamlined logistics reduced delivery times by 15%, enhancing customer satisfaction.
The company could now respond to disruptions in real time, maintaining high levels of reliability and trust with customers.
SurrealDB's scalability and ability to handle complex workflows across global networks made it the perfect fit for this high-impact use case.