How CMC made Salesforce Manufacturing Cloud forecasting 10x faster — without a single spreadsheet export

CMC is one of the largest steel manufacturers in North America — operating electric arc furnace mini-mills, fabrication plants, and recycling facilities across 50+ locations. Their sales and operations teams forecast demand for fabricated steel products across regional construction projects, where material sequencing, volume accuracy, and delivery timing directly affect production planning and profitability.

They implemented Salesforce Manufacturing Cloud to centralize forecasting. The vision was clear: one platform, real-time demand signals, unified S&OP across every region and product line.

The reality didn't match.

Manufacturing Cloud held the data. But the native interface — the standard forecasting views, reports, and dashboards — wasn't built for how steel forecasting actually works. Sales reps needed to update hundreds of line items across SKUs, regions, and time periods simultaneously. They needed to drag-fill, copy-paste, apply formulas, and pivot between weekly, monthly, and quarterly views — all in one screen.

Salesforce's native UI forced them through multi-step navigation, one record at a time. Adjusting a single timeframe or modifying volumes across product lines meant clicking through screen after screen.

So they did what 75% of manufacturers still do: they exported to Excel.

The spreadsheet workaround was fast — but it broke everything Manufacturing Cloud was supposed to solve. Forecasts lived in disconnected files. Version conflicts multiplied. Leadership lost visibility. And S&OP reviews turned into data reconciliation exercises instead of strategic planning sessions.

1. No bulk editing for high-volume forecasts

Steel forecasting isn't a handful of line items. It's hundreds of SKUs across dozens of regions and multiple timeframes — updated monthly. Manufacturing Cloud's native interface required navigating each forecast record individually. A task that should take minutes consumed hours of clicking.

Industry benchmark: Manufacturing sales reps spend only 28–35% of their time on revenue-generating activities. The rest goes to data entry, internal meetings, and manual processes. At CMC, the native interface made that ratio even worse.

2. No multi-dimensional view

CMC's teams needed to see demand by product, by region, by customer, and by time period — all in one view. Manufacturing Cloud's standard forecasting UI showed one dimension at a time. To compare SKU demand across three regions for the next quarter, an analyst had to pull three separate views and manually cross-reference them.

3. Spreadsheet exports killed forecast accuracy

Every time a forecast left Salesforce for Excel, version control disappeared. Regional teams worked from different snapshots. Changes made in spreadsheets never synced back. By the time the S&OP team consolidated everything, the numbers were already stale.

Industry benchmark: Manufacturers relying on spreadsheet-based forecasting achieve only 55–65% accuracy at the product-mix level. Those who digitize forecasting inside their CRM consistently reach 80–90%.

CMC evaluated Salesforce's native forecasting enhancements, custom Lightning components, and competing third-party solutions. Each addressed surface-level usability — but none solved the core problem: teams needed authentic spreadsheet-grade speed and flexibility without leaving Salesforce Manufacturing Cloud.

During the Wave proof-of-concept, a CMC regional sales manager opened the forecast grid inside Salesforce, viewed demand across 200+ SKUs in a single screen, drag-filled volume updates across an entire quarter, pivoted from weekly to monthly views with one click, and saved everything directly to Manufacturing Cloud.

Time: under 2 minutes.

The same workflow in Manufacturing Cloud's native interface — navigating to each forecast record, adjusting volumes, switching timeframe views — would have taken over 20 minutes and dozens of page loads.

The Matrix capability sealed the decision. For the first time, CMC's planning team could build custom forecast views combining any dimension — product, region, customer, time period — in a single, dynamic grid. No developer required. No dashboard workarounds. Just point, click, and pivot.

Valorx Wave transforms Salesforce Manufacturing Cloud forecast objects into a spreadsheet-style grid — directly inside Salesforce. Sales teams get the speed and flexibility of Excel. Leadership gets real-time, governed forecast data. No exports. No imports. No middleware.

Key capabilities

See the full forecast at a glance

‍View and edit hundreds of forecast line items simultaneously in a single grid. Sort, filter, and group by SKU, region, customer, or any custom field. No more clicking through individual forecast records to understand demand.

Pivot across any dimension with Matrix

‍Switch between weekly, monthly, and quarterly views in one click. Build custom forecast layouts combining product lines, regions, and time periods — all in a single, dynamic grid. Matrix gives planning teams the multi-dimensional view Manufacturing Cloud's native UI can't deliver.

Edit at spreadsheet speed

‍Drag-fill, copy-paste, and bulk-update forecast volumes across hundreds of rows. Apply changes across an entire region or product line in seconds — the same operations that make Excel indispensable, now running inside Salesforce.

Use formulas without leaving Salesforce

‍Apply spreadsheet-style calculations — variances, growth rates, weighted averages — directly in the forecast grid. No exporting to Excel for formula work. No re-importing results.

Data stays in Salesforce. Always.

‍Every edit syncs to Manufacturing Cloud in real time. No exports sitting in email attachments. No version conflicts between regions. Validation rules, sharing rules, and approval processes all remain enforced. The forecast in Salesforce is always the forecast.

Wave required zero changes to CMC's existing Salesforce architecture:

• Manufacturing Cloud: All forecast objects, account-based forecasting structures, and demand planning data preserved. Wave reads and writes to Manufacturing Cloud natively.
• S&OP Processes: Existing approval workflows, forecast submission cycles, and review processes continued unchanged. Wave works within governance — not around it.
• ERP Integration: Downstream production planning systems continued receiving forecast data through existing Salesforce integrations — now with cleaner, more current inputs.
• Security & Permissions: Salesforce sharing rules, field-level security, and regional access controls fully enforced within Wave. Teams see only what they're authorized to see.
• Reports & Dashboards: Existing Manufacturing Cloud dashboards and reports immediately reflected more accurate, real-time data — because teams were actually updating Salesforce.

No middleware. No API integrations to maintain. No additional infrastructure.

1. Manufacturing Cloud needs the right interface to deliver its promise. Salesforce Manufacturing Cloud is a powerful forecasting platform — but only if teams can actually work inside it at the speed their jobs demand. Wave closes that gap.

2. Spreadsheet exports destroy forecast accuracy. Every export creates a version fork. Every version fork introduces error. Eliminate exports, and accuracy follows.

3. Multi-dimensional forecasting requires a multi-dimensional view. Steel demand doesn't live in one dimension. Matrix lets teams see product × region × time in a single grid — the way they actually think about demand.

4. Speed drives adoption. CMC's reps didn't resist Salesforce — they resisted slow interfaces. Make the CRM faster than the spreadsheet workaround, and adoption solves itself.