# Kyle Henson

Kyle Henson writes about manufacturing inventory control, explaining how Kanban and better inventory information can help manufacturers reduce stockouts and keep production moving.

- Profile: https://b2binfluencer.marketing/creators/kyle-henson/
- LinkedIn: https://www.linkedin.com/in/kyle-henson-7b232652
- Topics: supply-chain, inventory-management, manufacturing-operations
- Based on 10 dated posts, latest 2026-10-06

## Summary

Kyle Henson is most useful for explaining manufacturing inventory control problems and making the case for Kanban and consumption-linked replenishment.

- Best for: A manufacturing ERP vendor seeking thought leadership on inventory management for operations and supply chain leaders.
- Not for: A demand planning or forecasting platform that promotes statistical forecasting as the answer to stockouts.
- Check first: Confirm sponsorship, rate card, inquiry route, and whether their Arda product creates a conflict.

### Takeaways

- R&D borrowing components, production reusing parts, maintenance taking supplies can go missing from records.
- Inaccurate stock data causes wasted worker time, unreliable customer promises, and disruption at buyer's business.
- Henson argues forecasting will never prevent stockouts because perfect forecasting is impossible.

## Main ideas

- **Shop-floor efficiency problems are information problems**: Henson argues that what gets labeled an operational problem — workers hunting for parts, setting up machines and tearing them down when materials run out, and phone calls about what needs ordering — is usually an information-flow failure. Traditional ERP, in this account, was built for predictable, high-volume production and breaks down when forecasts conflict with actual conditions. Since forecasting can never be perfect, they propose a decentralized Kanban system that links reordering directly to consumption, so replenishment follows use instead of a forecast.
- **The inventory movements sales records miss**: Henson identifies internal consumption as an under-recognized source of inventory discrepancies. R&D borrowing components for prototypes, production cannibalizing a finished build to fill another customer's order, and maintenance taking fasteners for repairs all bypass standard inventory processes. Nothing is deducted, so physical counts drift away from system records. They say manufacturers that handle this well use Kanban systems that trigger a reorder and inventory adjustment together when a bin is empty.
- **Unreliable data makes every inventory decision a gamble**: Henson describes manufacturers losing six figures in monthly revenue to stockouts while their systems show healthy stock. When records and physical reality disagree, pricing decisions rest on phantom stock, growth investments get delayed by shortages that may not exist, and customer promises rely on unreliable numbers. They argue the answer is not more sophisticated tracking but making accuracy effortless for the people who physically handle inventory, using simple Kanban cards with QR codes to capture consumption as it happens.
- **Stockouts are a reliability failure, not just a lost sale**: Henson argues executives underestimate the true cost of a stockout by about 400% because they count the lost order and little else. The larger damage is relational: when a supplier runs out, the customer may face their own stockout, halting production and damaging their reputation with their own customers. They identify three waves of damage — immediate revenue loss, relationship deterioration, and competitive displacement — and conclude that companies that understand this build reliability into the supply chain as a competitive weapon.

## Work to read

- [Why manufacturing efficiency can be an information problem](https://www.linkedin.com/posts/kyle-henson-7b232652_most-manufacturing-efficiency-problems-arent-activity-7397318488194699264-WqZi)
- [The inventory movements that sales records miss](https://www.linkedin.com/posts/kyle-henson-7b232652_inventorycontrol-erpoptimization-manufacturing-activity-7394782025196552193-EdB2)
- [When inventory records show stock that isn't there](https://www.linkedin.com/posts/kyle-henson-7b232652_top-5-causes-of-inaccurate-inventory-how-activity-7396593890281246720-BCAX)
- [The knock-on cost of a B2B stockout](https://www.linkedin.com/posts/kyle-henson-7b232652_most-executives-underestimate-the-true-cost-activity-7402391909190647808-zC4T)

## Brand relationships

- **Arda** (disclosed_partnership)

## Partnerships

Kyle Henson's posts do not say whether they offer sponsorships, publish a rate card, or provide an official partnership inquiry route. The four LinkedIn posts here are about manufacturing inventory, Kanban, and stockouts, and their promotional energy is pointed at Arda, the Kanban-style inventory product Henson says they work with and helped build. One post closes with a call to click a link and learn more about inaccurate inventory costs; others name Arda directly when describing how manufacturers should link replenishment to consumption. For a buyer, that means the practical route into this creator's content is more likely a co-created or product-focused collaboration than an off-the-shelf sponsored placement, and any terms would have to be established directly rather than read off a public policy. Two posts end by asking the audience a direct question about their own internal consumption or inventory tracking, which is the kind of engagement hook a brand could reasonably build a campaign around, but the posts here do not say whether Henson accepts outside sponsors or on what terms. Treat the partnership format as unresolved rather than declined: there is no stated offer, and there is also no statement that sponsorships are off the table.

## Alternatives

- Imran Choudhery, M.S., CSCP: If a manufacturing ERP vendor's inventory thought leadership will cover planning discipline — who owns the demand signal, who owns replenishment, and why merging the two roles creates shortages — Imran Choudhery addresses those questions directly. Their posts argue that demand planning and supply planning are separate disciplines with different skills, decisions, and success measures. They list what happens when responsibilities blur in large organizations: more shortages and stockouts, more expediting and firefighting, lower forecast accuracy, excess and obsolete stock, lower service levels, higher operating costs, and more cash tied up in inventory. A second post covers min-max planning in utility operations, explaining the two failure extremes: too little stock means delayed repairs and risk to reliability; too much means storage pressure and tied-up capital. Choudhery argues that min-max levels need regular review as demand shifts with seasonal peaks and storm seasons, supplier lead times move, and usage patterns change with asset condition. This is useful for a planning-parameters episode with concrete rules readers can apply. The byline also includes a named professional certification that a compliance-minded content team may value.
- Gary Specter: If the ERP vendor's series expands from inventory records to maintenance and asset reliability — why equipment goes down, why technicians avoid the software, and how frontline adoption produces cleaner data and fewer unexpected breakdowns — Gary Specter writes in that territory. The posts set out a technician-first product argument: software in industrial settings was long built for back-office reporting rather than frontline execution; the fix is to make the tool something technicians use daily; the payoff is cleaner data, fewer breakdowns, and real-time visibility across assets. One post also covers the labor shortage, a common hook for operations audiences. Both show how to pair an executive message with a concrete next step, such as a summit registration or a linked interview. For a leadership voice in a sponsored interview or webinar rather than a written explainer, Specter is the closer match.
- Esther Azeezat Oyeyemi: If the manufacturer's content goal shifts from how stock goes missing to what happens after the sale — onboarding, adoption, renewals, and noticing when an account goes quiet — Esther Azeezat Oyeyemi writes about exactly that. Their posts cover retention practices learned before they had a name: assigning each new arrival to someone, checking in, and following up when they stop attending. They also discuss a career managing 150+ accounts, a client who went silent after being promoted into a new role, and the argument that health scores and adoption numbers often show slippage only after it has started. Oyeyemi offers a clear framework for tying features to customer outcomes, using the onboarding question 'Why did you choose us?' to surface the value the customer actually wants rather than the value the vendor assumes it is delivering. For an ERP or inventory vendor whose buyers care about post-sale adoption and churn, this is closer to their commercial problem than more inventory mechanics.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/