LBSwork Operational

LBSwork is Tencent Maps' desktop AI mapping workspace, built on the same-source Harness framework as WorkBuddy and integrating Hunyuan and spatiotemporal foundation model capabilities. It includes seven expert Agents for visualization, mobility, marketing insights, site selection, ride-hailing, population heatmaps, and logistics fulfillment. Designed for users in retail, culture and tourism, mobility, and other industries, it enables map development, data analysis, and business decision-making through conversation.

Visualization Expert: Generate map dashboards, visual displays, or activity maps with a single sentence, with downloadable code included.
Mobility Expert: Automatically organize scattered locations into day-by-day travel plans with dining recommendations.
Marketing Insights Expert: Based on authorized location data, analyze visitor volume and audience profiles, and compare your business with competitors.
Site Selection Expert: Convert site selection experience into a knowledge base, evaluate new locations, and forecast sales for new stores.
Ride-Hailing Expert: Automatically identify causes, assign responsibility, and provide ready-to-send responses for driver and passenger feedback tickets.
Population Heatmap Expert (coming soon): Compare population activity across regions and time periods to support event site selection and scheduling.
Logistics Fulfillment Expert (coming soon): Organize delivery addresses, mark locations that need verification, and plan multi-stop delivery routes.

Download and install: Download and install the desktop client from the LBSwork website at https://lbsai.qq.com/.
Start a conversation: Open the app, click New Conversation, and enter the conversational workspace.
Choose an expert: Select the appropriate scenario from the seven map expert teams, such as site selection or marketing insights.
Describe your needs: State your needs in natural language, or directly use a scenario example from the dialog box.
Wait for execution: LBSwork uses mapping capabilities and big data for analysis, then automatically organizes the results.
Review the results: View the generated reports, dashboards, or plans, and continue asking questions or making adjustments.
Export and reuse: Download generated application code or reports for demos, further development, or incorporation into a knowledge base.

Unique location data advantage: Built on Tencent's daily location data at the hundreds-of-billions scale and location big data, an asset that other general-purpose Agents cannot replicate.
Specialized spatiotemporal foundation model capabilities: Tencent Maps' dynamic spatiotemporal foundation model provides professional map analysis and answers real business questions such as “Where should we open?” and “Where do our visitors come from?”
Reuse of the WorkBuddy foundation: Directly reuses WorkBuddy's open-source Agent framework, eliminating the need to rebuild general conversational capabilities for faster deployment and lower iteration costs.
Ready-to-use scenarios: Seven expert teams package complex LBS capabilities into simple, single-sentence commands, so business users do not need map technology expertise.
Actionable and reusable results: Generated dashboards and reports include downloadable code for continued development, while site selection experience can be consolidated into a knowledge base for ongoing reuse.
Follow-up interaction: Outputs are dynamic reports that can be queried and adjusted, rather than one-time answers, and integrate directly into the decision-making process.

Chain retail site selection: Generate a candidate location report with one sentence, combining visitor profiles and competitor distribution to forecast sales.
Business district marketing insights: Analyze visitor volume, catchment areas, and audience profiles for your business and competitors, providing a basis for campaign planning and post-campaign review.
Visual display development: Turn location, trajectory, and regional data into a map dashboard with one sentence, then download the code for developers to reuse and iterate on.
Travel itinerary planning: Automatically organize scattered attractions and restaurants into a day-by-day travel plan with restaurant recommendations.
Ride-hailing ticket responsibility assessment: For issues such as navigation detours reported by drivers, automatically identify the cause and generate a response that can be sent directly to the driver.