The CRM for the owner balancing the shop floor, the pipeline, and the five-year plan.
Owner-CEOs of $20M to $200M manufacturers carry sales, operations, S&OP, and succession on one calendar. Strkr collapses direct and distributor pipeline, ERP overlay, and a boardroom-grade forecast onto one surface so the owner is not the only integration layer.
The owner-CEO of a mid-market manufacturer runs a different week than a SaaS founder with the same title. Monday is a shop-floor walk and a scrap report. Tuesday is a direct customer call and a quote-approval sign-off. Wednesday is an S&OP review the owner personally feeds the demand side of. Thursday is a distributor QBR and a rep-firm commission dispute. Friday is a bank covenant check and a conversation about succession. The owner carries sales, operations, finance, and strategy because the company grew past the point where those functions could stay casual, but has not grown large enough to afford a CRO, a VP of S&OP, and a Chief Strategy Officer at once. The pains below are the ones that show up on every manufacturing owner onboarding call we take. The rest of the page shows how Strkr collapses the whole shape onto one owner-grade workspace that does not require a Manufacturing Cloud SKU to run.
Owner is the integration layer
The owner is the only person who sees sales, operations, and finance at once.
In a $20M to $200M manufacturer, the owner is the integration layer between the plant, the pipeline, and the bank. Sales lives in a spreadsheet the outside reps email in. Operations lives in the ERP. Finance lives in a monthly P&L close. The owner holds the mental model of how the three connect, and the day the owner takes a vacation the three drift. Strkr runs direct and distributor pipeline, booked-but-not-shipped backlog, and ERP overlay on one surface so the integration layer stops being a person and starts being a system.
No CRO to hire
The company is too big for seat-of-pants sales and too small for a CRO.
A real Chief Revenue Officer costs $350K base plus equity and will not take the job unless the data is already clean. The owner cannot afford to hire one, and the sales leader the company has today is a working VP of Sales who closes the top ten accounts personally. The owner needs a system that gives the visibility a CRO would bring without the hire. Strkr ships hierarchical forecast across direct, rep firm, and distributor channels, Strkr AI deal risk, and a board-ready weekly roll-up on every seat, so the owner reads the business the way a CRO would read it before the CRO can be hired.
ERP data is trapped
SAP, NetSuite, or Oracle holds the real numbers and nobody can get them out.
The ERP is where real revenue lives: open orders, backlog, scheduled ship dates, shipped revenue, A/R aging, and inventory on hand. The problem is that the ERP serves the plant and the controller, not the owner-CEO. Pulling a cross-cut by product line, by region, and by top customer requires a BI consultant and a six-week project. Strkr ships bidirectional connectors to SAP, NetSuite, and Oracle NetSuite with scheduled sync of orders, backlog, A/R, and shipped revenue, so the owner opens one dashboard and reads what the ERP knows without a BI ticket.
Long cycle, capex gate
A 12-month capex deal goes dark for 90 days and the owner notices on month four.
Industrial capex deals have quiet stretches by design. The customer board approves capex in a quarterly cycle, procurement runs a 60-day RFQ, engineering runs a 90-day qualification. The deal that is actually dying looks identical to the deal that is working through a known milestone. The owner finds out on month four when the forecast misses. Strkr AI reads activity cadence, quote age, sample status, email sentiment, and the capex-approval milestone, and flags deals where the silence pattern correlates with slip, with the triggering signal attached, so the owner sees the three deals that need a shove on Friday instead of a surprise on Monday.
S&OP depends on the owner
Supply chain reads the demand plan from a spreadsheet the owner builds by hand.
Sales and operations planning in a mid-market manufacturer runs on a monthly demand plan. In most owner-run shops that plan is a spreadsheet the owner personally builds from weighted pipeline, backlog, seasonality, and a conversation with the top three customers. The spreadsheet is late half the time, the plant orders long-lead-time material against stale numbers, and the inventory position drifts by millions over a year. Strkr Flows push a scheduled demand feed per product line and per plant into the S&OP cadence with commit, best case, and upside bands, so supply chain reads the same demand curve the owner commits to.
Succession and exit prep
The next-gen operator or the PE buyer wants three years of clean data, not folklore.
The 2nd or 3rd generation operator taking over the business, or the private-equity buyer evaluating the exit, both want the same thing: three years of clean, auditable data on the top customers, the pipeline, the win rate, the quote-to-order conversion, the backlog curve, and the gross margin by product line. The owner has most of that in folklore and spreadsheets. Strkr captures the system of record from day one with full audit history, so the valuation conversation (or the generational handoff) happens on evidence instead of a story the owner tells over a steak dinner.
How Strkr fits an owner-CEO week
One surface the owner can run the whole business from.
The owner-CEO of a mid-market manufacturer does not have five dedicated screens to run the business. The surface opened on a Monday morning has to hold pipeline, backlog, demand plan, cash position, and the three deals Strkr AI flagged as wobbling, all without a BI ticket or an analyst sitting next to the owner. The cards below are the surfaces an owner lives in across a normal week, and they stay unchanged whether the week includes a shop-floor walk, a bank meeting, or an exit-prep presentation to a PE firm. Every surface ships on every paid seat with no premium module gate.
Owner dashboard
Pipeline, backlog, cash, and risks on one screen.
The owner opens Strkr on Monday and sees the weighted pipeline for the quarter, the booked-but-not-shipped backlog from the ERP, the top five deals, the Strkr AI deal risk flags, and the A/R aging bucket. The whole business on one surface, with drill-down to the deal, the account, or the ERP record behind each number.
Hierarchical forecast
Direct, rep firm, and distributor rolled up to one board number.
Strkr runs a native hierarchical forecast across direct AEs, independent manufacturer rep firms, and stocking distributors with per-channel category calls (commit, best case, upside) and one rollup to the owner view. The number upward is the sum of three disciplined channel calls instead of a hand-blended spreadsheet reconciliation.
ERP overlay
Backlog, shipped revenue, and A/R from SAP or NetSuite on the deal.
Strkr ships bidirectional connectors to SAP, NetSuite, and Oracle NetSuite. Open orders, backlog, scheduled ship dates, shipped revenue, and A/R aging land on the account and the deal record. The owner reads what the ERP knows without opening a second system and without a BI ticket.
Strkr AI deal risk
The quiet signal that a capex deal is dying.
Strkr AI reads activity cadence, quote age, sample status, email sentiment, and the capex-approval milestone, and flags deals where the silence pattern correlates with slip. The owner opens Friday on a list of five risks with the triggering signal attached, instead of discovering the slip on the Monday board call.
Distributor hierarchy
Parent, branch, and end-user relationships modeled correctly.
Distributor relationships are three or four levels deep: parent, regional branches, local branches, and the end-user accounts branches sell into. Strkr custom objects model the full hierarchy with end-user linked to branch, branch to parent, and sell-through rolled up on the owner surface so the owner sees which end-user accounts drive the distributor number.
Fast capture
Log a plant tour or a trade-show visit in 30 seconds.
The owner leaves a plant tour at a top account, logs the call on the phone before the next ping lands, and the opportunity moves to the next stage automatically. The capture modal is one screen: who, what, next step. Data quality holds because the capture happens while the context is fresh, not during a Sunday-night cleanup.
S&OP, backlog, and the plant
The demand plan stops being a spreadsheet the owner builds by hand.
In a mid-market manufacturer, the demand plan is the connective tissue between what the sales team is doing and what the plant is going to run. In most owner-run shops that plan is a spreadsheet the owner personally builds every month from weighted pipeline, booked backlog, and seasonality. The spreadsheet is late half the time, the plant orders long-lead-time material against stale numbers, and inventory drifts by millions over a year. Strkr runs the demand plan as a scheduled Flow against the live pipeline, so supply chain reads the same bands the owner commits to the board.
Demand plan feed
Per product line, per plant, commit and upside.
Strkr Flows push a scheduled demand feed per product line and per plant with commit, best case, and upside bands into the S&OP cadence. The feed updates weekly as pipeline moves, so the plant runs against a live demand curve instead of a monthly snapshot that is already stale by the time it lands.
Booked vs shipped
Track the deal from PO received to recognized revenue.
Strkr tracks the deal through PO received, scheduled ship, partial ship, and recognized revenue on the same record, pulled from the ERP overlay. The owner shows the board one chart of pipeline-to-shipped conversion instead of three screenshots from three systems. The booked number and the shipped number live on the same page.
Backlog visibility
What is already sold but not yet in revenue.
Backlog from the ERP lands on the account and the owner dashboard. The owner sees the shape of the next two quarters of revenue (what is already booked, what will ship when, which top customers drive the backlog) without opening the ERP. Backlog aging flags the orders that have slipped their original ship date.
Scrap and quality tie-in
A customer-complaint flag on the account record.
When the plant logs a quality issue in the ERP against an order, Strkr surfaces the flag on the account record so the next sales call opens with the problem acknowledged instead of discovering it mid-meeting. The gap between the shop floor and the customer-facing team closes without a new tool.
Capacity signal
When a product line is sold out, pricing adjusts.
Strkr pulls plant capacity utilization from the ERP and tags product lines approaching full capacity. The deal record shows the capacity signal next to the quote, so the sales team quotes a longer lead time or firmer price on a sold-out line instead of promising a four-week lead the plant cannot hit.
A/R visibility
The owner sees who is 60 days late before the next shipment goes out.
A/R aging buckets from the ERP land on the account record. The owner sees that a top customer is 60 days past due before approving the next shipment, and the sales team sees the collection risk on the deal before quoting the next round. Finance stops being a monthly surprise.
Succession, exit prep, and the long game
A clean system of record the next operator or the PE buyer can read.
Every owner of a mid-market manufacturer eventually faces the same conversation: the next-generation operator in the family, the key employee stepping into the chair, or the private-equity buyer evaluating an acquisition. All three want the same thing: three to five years of clean, auditable data on the top customers, pipeline conversion, quote-to-order ratio, backlog curve, and gross margin by product line. In most owner-run shops that history lives in folklore and retired spreadsheets. Strkr captures the system of record from day one with full audit history, so the valuation conversation happens on evidence instead of a steak-dinner recollection.
Full audit history
Every change on every record, forever.
Strkr keeps a full audit history on every deal, account, quote, and stage transition. When the PE buyer or the next operator asks why a deal was pushed from Q2 to Q3 two years ago, the record shows the stage change, the owner note, and the activity that followed. The folklore gets replaced with evidence.
Three-year curves
Revenue, win rate, and backlog on one five-year chart.
Strkr reports show three to five years of trailing data on revenue by segment, win rate by channel, backlog curve, quote-to-order conversion, and gross margin by product line. The deck the owner shows to a buyer or to the next operator opens with the same five charts a PE firm will ask for on the second management meeting.
Top-customer concentration
The buyer will ask about customer concentration. Have the answer.
A PE buyer asks about customer concentration on the first meeting. Strkr shows the share of revenue from the top 5, top 10, and top 25 customers over the last three years, with trend, so the owner answers from a live view instead of a hand-rebuilt spreadsheet. Concentration risk gets managed over time instead of discovered during diligence.
Handoff to next-gen
The next operator opens Strkr on day one and sees the business.
When the next-generation operator or the newly promoted president takes the chair, they open Strkr and see the same pipeline, the same forecast, the same backlog, and the same risk flags the owner has been running on. The transition is a login, not a six-month knowledge transfer. Succession stops being a function of the owner being in the building.
Bank-covenant reporting
A monthly packet the lender reads without a phone call.
Mid-market manufacturers run on a revolver with monthly covenant reporting. Strkr saved views and scheduled reports deliver the pipeline, backlog, A/R aging, and shipped revenue packet to the bank on a cadence, so the quarterly covenant conversation opens on numbers the bank already has instead of a Friday scramble.
Family-business shared view
The owner, the brother, and the son all read the same number.
Second and third generation family manufacturers often have multiple owners inside the business: the operator, the sibling in finance, the next-gen in sales. Strkr role-based saved views give each one the slice they run while every slice rolls up to the same board number, so the Sunday-dinner conversation about the quarter happens on one set of facts.
Head-to-head
Strkr for manufacturing owners vs Salesforce Manufacturing Cloud plus SAP plus a boardroom spreadsheet.
The default stack for a $20M to $200M manufacturer is Salesforce Manufacturing Cloud for the sales side, SAP (or NetSuite, or Oracle NetSuite) for the ERP, and a boardroom spreadsheet the owner personally maintains to blend the two for the monthly board meeting and the S&OP review. The stack works, in the sense that nothing crashes, but it costs about $500K per year in license and implementation across the three, requires the owner to be the integration layer between sales and operations, and leaves the demand plan on a spreadsheet that is late half the time. Strkr replaces Manufacturing Cloud, overlays the ERP, and feeds S&OP on one workspace at per-seat pricing an owner-run business can actually commit to.
What matters
Strkr
Salesforce Manufacturing Cloud + SAP + boardroom spreadsheet
Pricing model
Per-seat with every module included, no per-contact wall
Manufacturing Cloud SKU plus Sales Cloud plus Service Cloud plus implementation
Hierarchical forecast
Direct, rep firm, and distributor rolled up natively
Possible with Manufacturing Cloud plus custom configuration from an SI
ERP overlay
Bidirectional connectors to SAP, NetSuite, Oracle, with backlog and A/R on the deal
MuleSoft or Boomi integration project, 3 to 6 months and $150K to $400K
S&OP demand feed
Scheduled Flow pushes commit, best case, upside per product line, per plant
Spreadsheet the owner personally rebuilds every month
Strkr AI deal risk
Flags capex deals going quiet with the triggering signal attached
Einstein add-on SKU, extra per-user per month
Distributor hierarchy
Parent, branch, end-user modeled correctly out of the box
Flat parent-child in base Sales Cloud, custom build in Manufacturing Cloud
Owner dashboard
Pipeline, backlog, A/R, and risks on one screen for the owner-CEO
CRM Analytics license plus a BI ticket plus a dashboard build
Audit history for exit prep
Full history on every record from day one, included
Field History Tracking capped at 20 fields, longer retention is an add-on
Marketing included
Email, nurture, forms, SMS, and sequences on every seat
Account Engagement (Pardot) SKU, extra $1,250 per month minimum
Total cost of ownership
Per-seat only, no implementation partner required
$300K to $500K per year across licenses, SI, and admin time
See the CRM for owner-CEOs of mid-market manufacturers.
Start a 14-day trial with the full workspace enabled: hierarchical forecast across direct, rep firm, and distributor, Strkr AI deal risk, ERP overlay for SAP and NetSuite, S&OP demand feed, and a Marketing module included on every seat. Per-seat pricing that does not require a system-integrator implementation. Build the owner dashboard, the demand feed, and the exit-prep audit history in an afternoon.
Why Strkr for an owner-CEO of a $20M to $200M manufacturer, instead of Salesforce Manufacturing Cloud?
Salesforce Manufacturing Cloud is a real product and it is the right answer at $500M revenue and above. Below that threshold, the economics stop working. A full deployment runs $300K to $500K per year in licenses, plus a system-integrator implementation that is another $200K to $400K one-time, plus admin time an owner-run shop does not have on staff. Strkr ships hierarchical forecast across direct, rep firm, and distributor channels, Strkr AI deal risk, distributor hierarchy, S&OP demand feed, and ERP overlay on every paid seat with no SI implementation. For an owner-CEO who needs the capability but cannot afford the Salesforce stack, Strkr is the version that actually ships.
We run SAP (or NetSuite, or Oracle NetSuite). Does Strkr play with the ERP we already have?
Yes. Strkr ships bidirectional connectors to SAP, NetSuite, and Oracle NetSuite. Open orders, backlog, scheduled ship dates, shipped revenue, A/R aging, and inventory on hand sync on a scheduled cadence and land on the account and the deal record. The owner opens one dashboard and reads what the ERP knows without a BI ticket. The ERP stays the system of record for financials; Strkr becomes the system of engagement for the commercial side and the overlay the owner reads the business from. No rip-and-replace, no MuleSoft project.
How does Strkr help with S&OP when I am the person building the demand plan every month?
Strkr Flows push a scheduled demand feed per product line and per plant into the S&OP cadence with commit, best case, and upside bands. The feed updates weekly as pipeline moves, so supply chain reads the same demand curve the owner commits to the board. The monthly demand spreadsheet the owner personally rebuilds goes away, and the plant orders long-lead-time material against a live number instead of a snapshot that was already stale by the time it landed in the S&OP meeting. The owner stops being the integration layer between commercial and operations.
We are a 2nd generation family business. How does Strkr help with the handoff to the next generation?
Succession at a mid-market manufacturer runs on information. The next-generation operator needs to understand the top customers, the pipeline shape, the quote-to-order conversion, the backlog curve, and the gross margin by product line. Strkr captures the system of record from day one with full audit history, so the handoff is a login rather than a six-month knowledge transfer. The next operator opens Strkr and sees the same pipeline, the same forecast, the same backlog, and the same risk flags the current owner is running on. The transition stops being a function of whether the current owner is in the building.
A PE firm has approached us about an exit. How does Strkr help with valuation?
Private-equity buyers evaluate industrial businesses on a known set of lenses: revenue by segment, win rate by channel, customer concentration, backlog curve, quote-to-order conversion, and gross margin by product line, all with three to five years of trailing data. Strkr reports deliver that packet from a live view instead of a hand-rebuilt spreadsheet, and the full audit history on every deal and every stage transition means diligence questions get answered from evidence instead of folklore. Owners who have been running on Strkr for two or three years going into a sale process start the conversation two multiples cleaner than owners who have not.
We have a working VP of Sales who closes the top ten accounts personally. Does Strkr replace that person?
No. The working VP of Sales is the right role for a $20M to $200M manufacturer. Strkr is the system that gives the owner-CEO the visibility a CRO would bring without the CRO hire. The working VP keeps running the direct motion and keeps closing the top accounts personally. Strkr adds hierarchical forecast across direct, rep firm, and distributor, the ERP overlay, Strkr AI deal risk flags, and the owner dashboard, so the owner reads the business the way a CRO would read it. When the business grows to the point a real CRO is justified, the data is already clean and the CRO starts on day one instead of month six.
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