Browser tools to speed up demand planner workflows
Use PixieBrix to customize and automate any tool you already use, right in your browser.
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate in the browser
Pull forecast outputs from the planning tool into ERP purchase order forms via a browser sidebar, reducing manual entry errors and saving time per cycle
Surface historical forecast performance and prior planning notes from the wiki in an overlay while adjusting forecasts in the planning tool
Pull sales data, promotional calendars, and market intelligence from the CRM into the forecasting model with one click
Auto-populate demand review presentations by pulling metrics from planning dashboards and ERP systems without manual export
AI Copilot in the sidebar can summarize demand trends, draft forecast narratives, or flag anomalies from the current planning page
Build reusable forecasting and reporting workflows your team can share without coding or waiting for ERP vendor customization
Integrate with 3000+ apps
Frustrations that cost your team hours every week
  • Switching between the demand planning tool, ERP system, and spreadsheets to review forecasts, create purchase orders, and reconcile quantities across multiple browser tabs
  • Manually copying forecast outputs from the planning tool into ERP purchase order forms, introducing data entry errors that lead to excess inventory or stockouts
  • No quick way to pull sales data, promotional calendars, or market intelligence from the CRM into the forecasting model without switching tabs and copying values
  • Building demand review presentations requires pulling forecast accuracy metrics, inventory levels, and sales data from separate dashboards into slide decks manually
  • No way to surface historical forecast performance or prior planning cycle notes from the documentation wiki while adjusting forecasts in the planning tool
  • Cross-referencing inventory levels in the ERP against forecast projections in the planning tool requires flipping between tabs and comparing numbers by hand
  • Copying demand signals from market research reports, sales team input, and analytics dashboards into the planning spreadsheet involves repetitive manual entry

Chat with AI to create your first custom workflow

Extract the forecast quantities from this planning page and format them for entry into my ERP purchase order form
Look up the prior forecast cycle results for this product in my wiki and display the accuracy metrics in sidebar
Extract the pipeline data and customer demand signals from my CRM and display them alongside this forecast
Pull the forecast accuracy, inventory levels, and sales data from this dashboard and format for my review presentation
Summarize the key demand trends and anomalies from this planning dashboard for my S&OP meeting notes
Compare the forecast on this page against the inventory levels in my ERP and flag items that need adjustment

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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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