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by Metrotechs · Dallas · Est. 2012
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Industrial Equipment

Configure-to-order shouldn't mean configure-to-chaos.

Industrial equipment manufacturers carry some of the highest order processing costs in manufacturing — not because the products are complex, but because the systems supporting them aren't. Getting that cost down starts with understanding where it actually comes from.

$506Industry average cost to process a single engineer-to-order engagement manually.
The Challenges
$506
industry average cost per ETO order

Configure-to-order runs through people, not systems

When quoting requires a back-and-forth between sales, engineering, and production, every custom order costs more to process than it should. The customer waits. The margin shrinks. Engineering capacity gets consumed by routine variants.

60%
of dealer calls are repeat inquiries for stock info

Dealer portals that don't reflect real inventory

Dealers calling in to check stock availability, ask about lead times, and place orders is a distribution model that caps growth. It also creates a gap between what dealers think is available and what actually is.

3x
more expensive to resolve escalated field issues

Field service running on institutional knowledge

When parts availability, service scheduling, and technician coordination live in people's heads, field service delays become customer escalations. Every dispatch is a negotiation between what's needed and what's actually on hand.

What Changes

Configure-to-order becomes configure-to-profit

When CPQ logic handles standard variants automatically, engineering time goes to genuinely custom work. Quote cycle times drop. Order accuracy improves. The $506 per-order cost benchmark becomes a target you beat, not a cost you absorb.

Dealers self-serve instead of calling in

A dealer portal connected to live inventory and pricing means fewer inbound calls, faster order placement, and a distribution network that scales without proportionally growing headcount. Dealers who can see stock and lead times in real time order more confidently.

Field service stops being reactive

When parts availability and scheduling are visible, service calls get dispatched with the right parts the first time. Delivery date predictions based on real data replace estimates based on experience. Customer satisfaction improves alongside margin.

Engineering works on what only engineering can do

When routing, pricing, and order processing for standard configurations are automated, the engineers who used to support those interactions are freed for higher-value work. Product development velocity tends to increase noticeably within the first year.

Built For
  • Industrial equipment manufacturers and OEMs
  • Companies with configure-to-order or engineer-to-order product lines
  • Organizations selling through dealer and distributor networks
  • Businesses where engineering capacity is consumed by routine quoting
How We Engage
01

Assess order cost and configuration complexity

We analyze your current ETO cost per order, BOM structure, pricing data quality, and the degree to which your quote process depends on engineering involvement. We quantify the opportunity before recommending a path.

ETO cost analysisBOM readiness evaluationCPQ opportunity sizing
02

Design the CPQ and portal model

We define how the configurator logic, pricing rules, and dealer-facing data will work inside your ERP before any implementation begins. The design specifies what automates and what stays in human hands.

CPQ data model designDealer portal architectureERP integration mapping
03

Govern delivery against the design

We manage implementation against the agreed model, validating each phase against the cost-reduction and adoption benchmarks defined in the assessment. Configuration drift is caught and corrected before it becomes rework.

Phased delivery governanceCPQ accuracy validationDealer adoption support
Launchpad Assessment Areas

ETO Cost Analysis

Quantifies your true cost per engineer-to-order engagement from initial inquiry through delivery and benchmarks it against the $506 industry average. The gap between your number and the benchmark is the addressable opportunity.

CPQ Readiness Assessment

Evaluates whether your BOM structure, pricing logic, and engineering data are ready to support a CPQ implementation. Identifies the data quality gaps that cause most CPQ projects to underdeliver.

Field Service Gap Analysis

Reviews parts availability, service scheduling, and field technician coordination workflows to identify where delays originate and what the cost of each escalation is to the business.

Every engagement starts with an assessment.

Before we recommend anything, we quantify the cost of your current state. The assessment tells you what the problem is worth — and whether solving it makes sense.

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Industrial Equipment by Region
Detroit, MICleveland, OHColumbus, OHIndianapolis, INFort Wayne, INMilwaukee, WIMinneapolis, MNPittsburgh, PAHouston, TXDallas, TXChicago, ILLouisville, KY