Search simultaneously across Customers, Products, Sales Orders, Purchases, Inventory, and Invoices from a single search interface. Results from all six modules are returned together in one categorized view.
Why it matters: eliminates the repetitive workflow of opening each module individually to locate records, saving measurable time on every lookup your team performs.
Enable the Match Phrase option to search for your exact input as a complete phrase rather than as individual separated keywords. When activated, only records containing the exact sequence of words you entered are returned.
Why it matters: when you know the precise name, reference number, or description you need, exact matching cuts through noise instantly.
Filter search results by specific module categories — focus on just Sales, just Inventory, just Invoices, or any combination you need in the moment.
Why it matters: gives users control over search scope without forcing them to navigate into each module separately.
Toggle between Active, Inactive, or All record states to control whether archived or historical records appear alongside current data.
Why it matters: daily operational searches stay clean and focused on live data, while audit or investigation workflows can surface archived records on demand.
Search results are organized by module type with a count of matching records per category displayed alongside the results.
Why it matters: users instantly understand the distribution of matching records across their business — seeing at a glance whether a search term has more hits in Sales versus Inventory.
Search results are filtered through native Odoo security protocols. Each user only sees records from modules and record types their role has permission to access.
Why it matters: a shared search tool that exposes data across module boundaries must enforce the same access controls as direct module navigation.
Every search query is saved to a personal history log. Users can revisit and re-execute any recent search with a single click rather than retyping the query.
Why it matters: operational teams run the same lookups repeatedly throughout the day — search history transforms repetitive typing into a one-click action.
