System Status

help.dispensight.cloud just got a smarter backend to mitigate spam - please note that this platform is for error / issue reporting, sales / marketing / unrelated inquiries will be closed. Thanks for your understanding!

🚀 Dispensight v4.3.0: Precision Forecasting & Infrastructure Update We are excited to announce the deployment of Dispensight v4.3.0, introducing a significant leap in data modeling and upcoming infrastructure improvements. 🧠 Core Engine Upgrade: HMC NUTS Our forecasting.py service has officially migrated to the HMC NUTS (Hamiltonian Monte Carlo No-U-Turn Sampler) engine. By utilizing this advanced Bayesian inference algorithm, Dispensight now delivers: Superior Accuracy: Enhanced handling of non-linear trends and seasonal volatility. Reduced Uncertainty: More robust confidence intervals for long-term inventory and sales predictions. Optimized Performance: More efficient sampling within our Prophet-based forecasting module. 🏗️ Architectural Stability This update reinforces our backend architecture, ensuring seamless integration between our SQLAlchemy models, Data Scraping services, and the newly supercharged Analytics/Forecasting pipeline. 🌐 Domain Migration Notice Please note that our demo interface will be transitioning soon to a new home. Current: app.dispensight.cloud Upcoming: s01-app.dispensight.ca

The Dispensight Help system is now live: 👉 https://help.dispensight.cloud You can now: - Submit and track tickets using UUID-based identifiers - Monitor progress in real time - Receive automated email updates - View structured ticket states and priorities

The KPI.dispensight.com platform will be decommissioned on March 1, 2026. We extend our gratitude to all users for their patronage, and we invite those who require such instrumentation to contact welp@dispensight.com via email. We will endeavor to address their concerns in a timely manner.

The Dispensight Fraud Detection v4.0.0 update is now live, featuring a significantly expanded dataset of 66,381 training samples. This update marks a substantial improvement over the previous version's 35,881 samples and 92.5% accuracy, with our latest Naive Bayes model now reaching 97.43% accuracy. These enhancements provide more robust protection against high-risk threats, including phishing, smishing, and investment scams. https://fraud.dispensight.com