Manufacturers run a health check when quoting slows down, distributor access grows untidy or ERP numbers stop matching the pipeline everyone reviews on Monday.
In manufacturing, a health check examines how Salesforce handles complex customer structures, a large product catalog, channel partners and a tight link to ERP. We review account hierarchies for sold-to, ship-to and bill-to relationships, product and price book data, quoting and approval automation and what distributors and reps can see through partner access. We also look at installed base and service records where they exist. The findings are ranked by risk to revenue, margin and partner trust, and by how much each item slows quoting, forecasting or order handoff.
Manufacturing orgs carry data that belongs to other systems. Customers, products, prices and orders usually originate in ERP, which means Salesforce is only as good as the integration feeding it. Product catalogs can be large, with configurations and part numbers that change often. Many manufacturers sell through distributors, dealers and independent reps, so partner visibility and deal registration add another layer of access design. Plants and divisions acquired over time may each have brought their own processes into one org. A review has to separate what Salesforce should own from what it should only display, before judging whether the configuration is healthy.
We examine how corporate parents, plants, ship-to locations and buying groups are represented, and whether ERP customer numbers map cleanly to Salesforce accounts. Orphaned locations, duplicate parents and mismatched ownership are measured. The findings show whether sales leaders can trust rolled-up revenue by customer and whether territory assignment works on the right level of the hierarchy. Hierarchy depth limits in reports are also noted.
Large catalogs tend to leave behind inactive products, duplicated part numbers, stale price books and discount schedules nobody maintains. We compare what is active in Salesforce with what ERP considers sellable, check how price updates arrive and review quoting approval thresholds. Pricing that is wrong in the CRM directly affects margin, so these items are usually ranked near the top.
Distributors and independent reps may see accounts, opportunities, pricing and deal registrations through Experience Cloud. We test sample partner users to confirm they see only their own territory and customers, check whether registered deals are protected from other partners and list inactive partner accounts. Channel conflict often traces back to visibility settings that were broadened temporarily and never reset. Deal registration approval timing is reviewed as well.
Configure, price, quote setups built over many years often contain overlapping price rules, product rules and approval flows. We inventory them, identify rules that conflict or never fire and look at quote generation performance for larger orders. We also review custom code around quoting and order submission, since fragile logic there tends to fail precisely when a large order is due.
We start with sales operations and the ERP or integration owner, because most manufacturing findings sit at the boundary between the two systems. Channel managers and a few inside sales, outside sales and customer service users follow. The review is read-only and planned around quarter end and any price update cycle. Integration findings are shared with the ERP team early, since fixes often require changes on both sides. The report separates configuration fixes your admin can make from items that need joint work with ERP or IT.
We check how customers, products, prices, orders and invoices sync, where records fail to match and whether sales staff see current order status or stale snapshots.
Where product attributes come from a separate catalog system, we confirm how updates reach Salesforce and whether retired items are deactivated consistently.
We review how installed equipment, warranty claims and service history connect to customer accounts, so sales and service teams share the same view of each site.
Health problems in manufacturing orgs often come from unclear ownership: accounts edited in both systems, prices maintained twice and orders entered in the wrong place. Document which system is authoritative for each object, then assess the configuration against that decision rather than against general best practice.
Some manufacturers handle technical data or customers subject to export control rules. The review lists where technical specifications, drawings or restricted customer information are stored and who can reach them, including partner and offshore users, so compliance can decide whether controls are adequate.
AI-assisted quoting, product recommendations and service agents rely on accurate product relationships, compatibility and pricing. If the catalog carries duplicates and obsolete parts, an agent will suggest them. Clean up active products and relationships before connecting any AI feature to quoting or customer service.
Client names are anonymized.
There are several usual suspects: opportunities closed as won before orders are booked, orders split or combined differently in each system, currency and unit-of-measure differences and accounts mapped to the wrong ERP customer. The review samples a set of accounts and orders, traces them through both systems and shows which of these causes applies to you and how often.
Usually duplicated record types, competing stage definitions, several versions of similar automation and customers who exist once per division. The review maps what each division uses, identifies shared components that behave differently for different teams and recommends where standardizing would help and where divisions genuinely need to work differently. Forcing everything into one process is not always the right answer.
Yes. Quoting is often the most complex and fragile area of a manufacturing org. We review product and price rules, bundles, approvals, templates and quote performance, then identify rules that conflict or are no longer used. If you are weighing a move to the newer Revenue Cloud capabilities, the review also highlights what would need rework.
If service runs in the same org, yes. Parts, service contracts and installed base records are often where manufacturers find their best growth opportunities, and also some of their worst data. We check asset hierarchies, entitlement records and how service cases link back to accounts, so aftermarket reporting and service-driven sales opportunities rest on trustworthy information.
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