Consistent Quoting Across Multiple Shop Locations

Running a digital manufacturing operation across two or more locations introduces a quiet profit killer: quote inconsistency. One shop prices setup time at $150/hour; another uses $120. One includes secondary ops in the base rate; another line-items them. The customer sees different numbers for the same part depending on which facility receives the RFQ. Trust erodes, margins slip, and estimators waste hours reconciling differences.

The fix isn’t more spreadsheets or longer email threads. It’s a single source of truth for pricing logic, shared templates, and workflows that keep every location aligned — without stripping autonomy where it matters.

Why Multi-Site Quoting Drifts

Drift starts small. A new estimator in Facility B rounds machine rates differently. A shop foreman in Facility A adds a manual deburr charge that never made it into the master rate card. Six months later, the same 5-axis job quotes 18% higher at one site.

Common causes:

• Decentralized rate cards — each site maintains its own spreadsheet
• Tribal knowledge — unwritten rules about minimums, rush fees, or material markups
• Version control gaps — outdated templates circulate alongside current ones
• No shared feedback loop — win/loss data stays siloed

The result: sales teams can’t explain discrepancies, customers shop your own sites against each other, and leadership can’t trust pipeline forecasts.

Centralize Pricing Logic, Not Just Data

You don’t need identical overhead at every facility. You do need identical methods for calculating quotes. Centralize the formulas, not just the inputs.

Build a master rate structure that defines:

• Machine hour rates by process (CNC mill, lathe, laser, printer) with clear cost drivers
• Setup time algorithms — not flat fees, but formulas tied to fixture complexity, tooling count, and program time
• Material markup tiers by volume bracket and alloy family
• Secondary op libraries with standard cycle times (deburr, tumble, anodize, heat treat)
• Minimum order values and rush multipliers as policy, not discretion

Each site plugs in its actual labor burden, utility costs, and lease expense. The math stays the same. When Facility A’s electricity rate changes, they update one input — not ten quotes.

Shared Templates With Controlled Overrides

Templates enforce consistency. But rigid templates break when a site has a legitimate difference — a 5-axis machine the others lack, or a local heat-treat partner with better pricing.

Use a tiered template system:

1. Global base template — the master quote structure, required fields, and calculation logic. Locked for all sites.
2. Site-specific overlays — approved variations: machine list, local vendor rates, capacity calendars. Managed by a central admin.
3. Estimator notes field — free-text for one-off assumptions, visible to reviewers but not customers.

Any override outside the overlay requires approval and gets logged. Audit trails prevent silent drift.

Real-Time Collaboration on Complex RFQs

Large assemblies often split across sites — machining at Facility A, printing at Facility B, finishing at Facility C. Email chains and shared drives create version chaos.

Adopt a single quoting workspace where:

• Multiple estimators work the same quote simultaneously
• Line items show ownership (“Facility A — CNC roughing”)
• Roll-up totals update instantly as each site saves
• Internal comments thread on specific operations
• Final review locks the quote and generates one customer-facing PDF

This cuts multi-site quote turnaround from days to hours and eliminates “which version is current?” confusion.

Calibrate With Win/Loss Data Across Sites

Consistency without accuracy is just synchronized failure. Close the loop by aggregating outcome data centrally.

Track by site and process:

• Quote-to-close rate
• Average discount from quoted price
• Margin at close vs. margin at quote
• Lead time quoted vs. actual

If Facility A wins at 40% margin and Facility B loses at 35% on similar work, the difference isn’t market — it’s method. Use the data to refine the master rate structure quarterly.

Onboard New Locations Without Rebuilding

Adding a fourth site shouldn’t mean a six-month quoting integration project. With centralized logic and templated overlays, a new facility goes live in weeks:

1. Input site-specific costs (labor, overhead, machine list)
2. Map existing equipment to global process categories
3. Validate against 20-30 historical jobs from that site
4. Train estimators on the shared workspace, not local spreadsheets

The first quotes out of the gate already speak the same language as the rest of your network.

One Quote Voice, Many Capabilities

Customers don’t care how many buildings you operate. They care that the price, lead time, and spec match — every time, from every location. Centralized pricing logic, tiered templates, collaborative quoting, and shared performance data turn multi-site complexity into a competitive advantage.

Solvi’s quoting engine is built for this: one master rate card, site-specific overlays, multi-estimator workspaces, and roll-up analytics across every facility. See how it works.