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Spaceti AI is an innovative addition to Spaceti's Holistic Space Management Platform, designed to support workplace managers by simplifying data comprehension through its advanced AI-powered workplace advisor chat tool.

AI, as your Workplace Advisor, collects and interprets all relevant workplace data in a user-friendly format, empowering managers to effectively oversee their environments. With natural language prompts, workplace managers can interact with AI on-demand to analyze and comprehend complex datasets, enabling the optimization of space utilization, improvement of occupant comfort, and enhancement of energy efficiency.
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"How good was my building utilized daily during the last month"
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The bar chart shows the daily utilization percentage of the building over the last month. We can observe that on weekdays (Monday-Friday), the utilization is generally high, often reaching 100% on some days. However, on weekends (Saturday and Sunday), the utilization drops to 0%, indicating that the building is mostly unoccupied during those days. There are a few notable patterns: 1. Most Fridays have a utilization of around 72-83%, which is slightly lower than other weekdays. 2. There are a few weekdays where the utilization is 0%, suggesting holidays or other events that led to the building being closed or unoccupied. 3. The utilization on weekdays is relatively consistent, with most days showing a high percentage, indicating a regular occupancy pattern during working hours. Overall, the data suggests that the building is well-utilized during weekdays, with a significant drop in utilization on weekends, which aligns with typical office usage patterns.
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“Do I need more workspaces on the second floor based on the last year data?”

The chart shows the hourly workspace occupancy percentage on the 2nd floor over the past year. The occupancy levels fluctuate throughout the year, with some noticeable patterns: - Occupancy is generally higher during typical working hours (around 9am to 5pm) and lower in the early mornings and evenings, as expected. - There are periods of very high occupancy, often above 80%, suggesting the workspaces were likely overcrowded during those times. This occurred occasionally throughout the year, like in late November 2023, early January 2024, mid-April 2024, and late May 2024. - Occupancy drops significantly during holidays and weekends, with some days showing near 0% occupancy, indicating the office was likely closed. - In the summer months (June-August 2024), occupancy levels seem to be lower overall compared to other seasons, potentially due to employees taking vacations or working remotely more often. To determine if more workspaces are needed, it would be helpful to analyze the frequency and duration of the high occupancy periods exceeding a comfortable utilization threshold (e.g. 80%). If these overcrowded situations occur frequently or for extended periods, adding more workspaces could improve the working environment on that floor.
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"How did the booking utilization for meeting rooms vary across different departments last quarter?"

Based on the data for the first quarter of 2024, the booking utilization for meeting rooms varied notably across different departments: The "Everything" department, which represents all meeting rooms combined, had the highest overall booking utilization ranging from around 0.1% to 4.3% across different weeks. This indicates a moderate level of utilization when considering all meeting rooms together. The "Warner Music Artists' Spaces" department showed the second highest utilization, peaking at around 6.3% in the week of March 18th. This suggests that meeting rooms associated with this department experienced relatively high demand during certain periods. The "Managers spaces" department also had relatively high booking utilization, with a peak of around 12.5% in the week of March 18th, indicating very high demand for their meeting rooms during that particular week. In contrast, the "Business & Marketing" department had very low booking utilization, with most weeks at 0% and a maximum of only around 1.3% in a couple of weeks. This implies that meeting rooms for this department were significantly underutilized during the first quarter. Interestingly, there seems to be some variation week-over-week for most departments, with certain weeks like the one starting March 18th showing higher utilization across multiple departments. This could potentially be attributed to specific events, projects, or increased meeting activity during that period. Overall, the data highlights the disparities in meeting room booking utilization across different departments within the organization, with some experiencing high demand while others remained largely underutilized during the first quarter of 2024.
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"Show me the hourly occupancy rates for all common spaces and studios on Wednesday, last week."
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"Compare the daily occupancy patterns of workspaces and meeting rooms over the last week."

"Visualize the booking utilization trends for VIP meeting rooms across different floors this month."

"Analyze the relationship between CO2 levels and occupancy rates in workspaces during peak hours."

"Visualize the hourly occupancy rates for parking spaces on a last Monday"

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“Were there any potentially dangerous levels of CO2 recorded in April?”

Based on the data, there were several days in April where the maximum CO2 level during working hours exceeded 1000 ppm, which could potentially be considered dangerous. The highest maximum value recorded was 4991 ppm on April 10th. Other days with very high maximum CO2 levels include April 19th at 3874 ppm, April 17th at 3546 ppm, and April 12th at 3772 ppm.
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"Show me the trends in temperature and humidity across all floors over the last month."

The chart shows the daily average temperature and humidity trends across all floors and space types over the last month during working hours (8am to 6pm). Looking at the temperature trend (blue bars), we can see that it has been relatively stable, mostly ranging between 24-26°C throughout the month. There were a few cooler days around May 17-19 and May 29 where the average temperature dipped slightly below 24°C. The humidity trend (orange bars) shows more variation. It started around 30-40% in early May, then increased to around 45-50% in the middle of the month, with a few spikes over 50% humidity on May 27-28 and May 31. In the last week, humidity has been fluctuating between 43-50%. Overall, the temperature has remained fairly consistent within the comfortable range, while humidity levels have been more variable, reaching some higher levels in the latter half of the month which could impact comfort levels. Let me know if you need any other insights from this data.
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"Compare the CO2 levels between meeting rooms and workspaces for the past week. 3. Visualize the occupancy rates of different space types during working hours this month."

The chart shows the average CO2 levels in meeting rooms and workspaces during working hours for the past week. For meeting rooms, the CO2 levels fluctuated between around 430 ppm on the lowest day (June 1st) to around 700 ppm on the highest day (June 3rd). The levels were generally higher in the middle of the week, potentially indicating increased occupancy and usage of meeting rooms during those days. In workspaces, the CO2 data is not available, likely due to a lack of sensors or data collection in those areas. The chart shows null values for workspaces throughout the week. Overall, the meeting rooms exhibited noticeable variations in CO2 levels across different days, while no data was available for workspaces to make a comparison.
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The occupancy rates were relatively low, around 2-3%, for the first two days of the month (June 1st and 2nd). However, there was a significant spike on June 3rd, with the average occupancy reaching over 36%. After the peak on June 3rd, the occupancy rates decreased but remained higher than the first two days, ranging from around 15% to 29% from June 4th to 6th. On the current day, June 7th, the occupancy rate has dropped back down to around 2.8%, similar to the levels at the start of the month. The chart shows noticeable fluctuations in occupancy levels across different days, with a distinct peak on June 3rd. This pattern could potentially be attributed to factors such as events, meetings, or varying work schedules throughout the month.
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"Identify any patterns or correlations between temperature and occupancy levels in the past two weeks."
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"Are there any noticeable differences in environmental conditions between floors during working hours?"
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"Show me the trends in sound levels across different space types during working hours this quarter."
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"Compare the environmental conditions (temperature, humidity, CO2) between departments over the past month."
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