Sales Ops keeps the pipeline trustworthy, which means catching every bad deal stage, mismatched account name, and inconsistent territory value before it corrupts a forecast. Asphorem standardises sales data at the file level.
File rows never leave your browser. AI matching uses unique column values only.
Works with any CSV-based import
A forecast is only as trustworthy as the values feeding it, and uploads rarely arrive clean.
An imported file says 'Negotiation', your pipeline stage is 'Negotiation/Review'. The deal imports with no stage and drops out of the forecast.
'EMEA', 'emea', and 'Europe' as three values means territory reports and quota rollups are wrong.
Account names formatted differently across files never match, so the same company imports two or three times.
Every territory realignment or list buy means manual reformatting before the data is safe to import.
Match every incoming value to your pipeline, and review it before anything is written.
Define your canonical deal stages and segments once. The AI maps every incoming value to them and flags anything it cannot place.
Territory files and list buys arrive in the same shape every time. Save the mapping and skip straight to a clean file.
Split a combined column into separate outputs, or add a constant column, so files match your CRM schema without manual editing.
Every value substitution is shown before export. Fix what is wrong with one click, and the fix is saved for next time.
Not just fuzzy search. Asphorem's AI matches picklist values semantically, across typos, abbreviations, different languages, and numeric range formats.
The bulk uploads where one wrong value quietly distorts the whole pipeline.
Reassigning accounts means a bulk update file with consistent territory values. Normalise before the import runs.
A bought list never matches your segment and industry values. Clean it to your schema first.
Old deal stages will not match the new pipeline. Map every legacy value to a canonical stage before import.
Partner deal data arrives in their format. Standardise stage, value, and account fields to yours.
Three tools built for the files Sales Ops handles on a daily and quarterly basis.
Match incoming deal stages, territory values, and account fields to your exact CRM picklist in one pass.
Generate consistent tracking links so campaign source values import cleanly alongside deal data.
Anonymize pipeline files before sharing with external partners, consultants, or board members.
Asphorem flags any value it cannot match to your canonical list. You decide: map it to an existing stage, add it as a new canonical value, or mark it for manual review. Nothing imports with an unresolved stage unless you approve it.
Yes. Add a constant column with any label and value you define. Every row in the output gets that value. This is useful for tagging imported records with a region, team, or data source before they reach your CRM.
Map each old field name to your target field name, set the column types, define your canonical values, and save the configuration as a preset named after the source system. Every future export from that system applies the preset automatically, with no manual reformatting.
No. Updating your canonical mapping only affects future files. You can re-process historical exports through the new mapping if needed, but existing clean files are not changed automatically.