A single source feeding sales and operations forecasts
A medical device manufacturer uses Airtable as the database behind its sales and operations forecasts. Operations and Sales teams pull device utilization data into one connected base to build sales and operations plans, giving both functions a shared source for capacity planning and resource allocation instead of reconciling separate spreadsheets.
The problem
Sales and operations plans depended on device utilization data that field specialists entered by hand, and manual entry introduced accuracy and data quality issues that rippled into every downstream forecast. Operations and Sales worked from figures that were not always trustworthy.
Without a single source for that data, capacity planning and resource allocation decisions were made on numbers that needed extra verification before anyone could act on them, slowing down planning cycles for both teams.
What they built
Operations and Sales built a shared Airtable base that pulls device utilization data and turns it into sales and operations plans in one place, replacing the informal handoffs that used to connect data entry to forecasting.
The base gives both teams a single record of what is being planned, so a forecast built from the same underlying data can support capacity planning and resource allocation without teams reconciling separate copies.
The outcome
Sales and operations plans now draw on consolidated data rather than fragmented inputs, improving forecast accuracy for the teams that depend on it.
Operations and Sales work from one base for capacity planning and resource allocation, giving both functions a shared source instead of separate, hard-to-reconcile figures.
Inside the solution
Sales and Operations Forecasting
Resource & Capacity Planning
- Device utilization data extraction for forecasting
- Sales and operations plan creation
- Manual field data entry affecting forecast accuracy
- Data quality and accuracy issues
- Improved forecast accuracy
- Consolidated data for planning
- Operations
- Sales
- Capacity planning
- Resource allocation
Sales and operations forecasting
Pull device utilization data into one base and turn it into a sales and operations plan Operations and Sales both read, with forecast-versus-actual tiles and charts by product line and period, a consensus review board, and a data quality queue that catches manual-entry errors before they reach the forecast. Automations open a review on every new utilization record, verify it when the review resolves, reopen dependent capacity plans when a line is agreed, and email a weekly digest of lines still short of consensus - while AI columns draft the variance narrative, the data quality triage note, and the cycle brief.
From manual data entry to one forecasting base
Copy the template
Consolidate the inputs
Build the plan views
FAQ
Frequently asked questions
Device utilization data extracted into the base, which Operations and Sales use together to build forecasts instead of working from separate sources.
Field specialists entered utilization data by hand, and manual entry is prone to inconsistency. Feeding that data into a connected base surfaces quality issues earlier and keeps the forecast built on a single, consistent input.
Both teams read from the same underlying data, but Operations uses it for capacity planning while Sales uses it for resource allocation and plan creation, so the two functions stay aligned on one set of numbers.
Yes. The base consolidates what used to be separate spreadsheet inputs into one source, so capacity planning and resource allocation draw from the same data instead of reconciled copies.
Not yet. The account is evaluating AI-assisted data cleaning for operations forecasting, pending internal governance approval, and the consolidated data built here is the foundation that effort would build on.