Pathways to Profitability – Learnings for Operations

Profitability has again taken center-stage when evaluating the near-term operational performance of Product companies, and their long-term prospects.

This article highlights some of our learnings & experiences regarding –

What are the different pathways to profitability, or growing profits?
What to watch out for?

These learnings are from the vantage point of Operations leadership, and for all who lead, or support cross-functional operations.

In the current backdrop of an ongoing pandemic, persistent inflation, the corrective actions being taken by central banks, its confounding impact and a widespread feeling of uncertainty, Profitability has taken center-stage again when evaluating the near and longer-term operational performance of Product companies.

This article highlights some of our experiences and learnings to answer the questions –
What are the different pathways to profitability, or growing profits (for companies that have achieved profitability)?

What to watch out for?

These learnings are for Operations teams, their leadership and all leading or supporting cross-functional operations (Finance, IT, Engineering).

Putting Profitability on the back-burner will burn your enterprise

Companies that pursue ‘growth only’ approach, without careful attention to “profitable growth”, risk losing sight of the insidious effects of factors that will erode eventual economic value of the enterprise. How? Growth, especially growth at a breakneck speed* invariably leads to poor quality of attention being paid to anomalies in ‘cost of growth’. Growing costs creep in even when a company grows in line with plans. With unplanned growth, growing costs become bad news that arrives too late, eventually derailing the path to profitability for larger and mid-size product companies alike.

A Company that loses their ‘path to profitability’ (including sustaining their profits), loses the chance to maximize its own value and provide maximum value to customers. Key questions for company leaders –

  • As you make Plans, especially those with longer-range impact (e.g., adding factory or warehouse capacity), do you have a clear picture of its impact – on existing customers, on profitability?
  • What if (.. list any of the many changes here) happens?

* Seen in the pandemic times circa 2020-early 2022 in a subset of IT goods and e-commerce industry

Manufacturing & Supply Chain Operations teams are core to any product company’s mid to long-term survival and profitability; their evolving mandate

Over the last 2+ decades, this author has observed the slow, almost inexorable slide downwards, of the role of “Manufacturing and Supply Chain Operations” teams in companies that design, make and ship branded products – across many industries (from Hi-tech electronics to consumer appliances, to name a few).

As ‘outsourced manufacturing’ in several industries, stripped away the ‘physical assets’ (machines, tools, materials) that Operations teams were responsible for, operations teams shrank – often, with good reason. Unfortunately, the Operations function’s importance as a strategic partner of the CEO, as a part of the executive team, shrunk too, overwhelmingly – except, in those organizations where the Operations leaders were strong change influencers and facilitators, and the CEOs and other influential leaders were clear about it. Clear about the fact that – Operations team and their leaders are core to the company’s success – whether manufacturing is outsourced or not.

This phenomenon was upended by the global pandemic starting circa early 2020, as factories, materials needed, ports, and people working these, froze up, and buckled under their weight of the pandemic.

Only those companies can serve growing markets profitably in the longer term, when key leaders and the CEO are clear that Operations team and their leaders are core to the company’s success – whether manufacturing is outsourced or not, and the Operations mandate will need to evolve

It appears that this, among other reasons, have resulted in a shift, which is yet a ‘work in progress’. Indeed, Operations teams are now playing key roles at companies, at least among stronger ones, often in new, strategic settings – in some cases, the Operations leaders getting invited to share their “supply chain insights” in quarterly, financial, market-facing calls, alongside the CEO and CFO.

This is the right time for Senior leadership at Product companies to work closely with their Operations leadership team and build out the necessary competencies and capabilities needed, so they are not caught flat-footed, and new ways of operating are developed and implemented, as the pandemic persists, and other major “supply constraining” events take place (war, weather-related/ climate-change induced disasters, and their aftermath, etc.), some of which may seem deceptively “further out”. Key question –

  • What key Operations capabilities and competencies are needed now?
  • How will the Operations function evolve – Can Ops step outside of the ‘cost control’ function (traditionally, a “comfort zone”), and contribute directly towards the ‘profitability’ function?

How can Operations step outside of the ‘cost control’ function (traditionally, a “comfort zone”), and contribute directly towards the ‘profitability’ function?

We have seen transformative results when Operations leaders have such a mandate. However, a ‘mind-shift’ is needed.

For example, during a time when one of the largest integrated Steel plants in India, Tata Steel, was facing severe input constraints, our founding advisor’s work to optimize operations directly helped expand profit contribution even as total output volume went down, resulting in a radical rethink of how to manage operations (International award-winning work by Dr. Gopal P. Sinha**).

A word of caution here – Do not go back to the old ways – i.e., diminished attention to the Operations function when these “economic clouds” start clearing up and “headwinds” to Revenue growth diminish.

** Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science
https://www.informs.org/Recognizing-Excellence/INFORMS-Prizes/Franz-Edelman-Award/Franz-Edelman-Laureates2/Franz-Edelman-Laureates-Class-of-1994

Deliberate & Intelligent Collaboration is the only way for any company to succeed

    While this is true for enterprises of any size, irrespective of their relative position in their industry, it is especially true for younger (growing startups and scale-ups) and mid-size companies that have to innovate and grow their products and offerings. “Collaboration” with a capital “C” can result in many intuitive and non-intuitive benefits. Highlighted below is one –

    Unexpected “value” and “insights” from suppliers and their products, especially those with a “collaborative” approach. Credible smaller providers (i.e., with proven success), may have a lot more to offer than larger providers, since “innovate and execute” is core to their survival and growth.

    For example, in one case, a Procurement executive at a growing, mid-size product enterprise was “surprised” how a system (provided by Zyom) significantly improved collaboration with Finance, reducing time in hand-offs between Ops and Finance, and eliminating errors which resulted in higher supply costs, in addition to other primary benefits. Question –

    • Have you explored any credible, new ideas in managing cost, and improving profitability with all your suppliers?

    Supply driven “Inflation” needs a different mindset & tools

      As the US, Europe, Japan and most free-market economies grapple with the most severe inflation in the last 4+ decades, it is an imperative to approach this ‘inflation’ cycle with a different mindset, in terms of operational execution.

      In this case, persistent inflation was triggered largely by a once in a 100-year pandemic resulting in massive, cascading disruptions to global supply chains, choking supply severely (demand largely intact after the initial shock), the resulting policies (government, central banks, even companies – inducing more demand), subsequent uneven return to normalcy (China, an important global player, has entered a dangerous phase 2 of the pandemic, as of December 2022). Geopolitical unease between the US and China, the attack on Ukraine by Russia, has forced speedy rethinking of supply sources, making matters very difficult for those operating global supply chains.

      The Chief of Operations always had a dual mandate – Right amount of flexibility at an optimal cost, which are at odds with each other.

      Flexibility implies flexibility in the manufacturing and supply network – capacity, inventory, etc.
      Costs include all product and operational costs that impact cost of goods sold.

      Increased flexibility directly leads to higher costs, often a step-function increase.

      In light of the evolving global pandemic and ongoing supply constraints (though, getting better), key questions for Operations leaders and the CFO are –

      • What specific decisions can Operations directly support to address the profitability squeeze (due to inflation)? How? (Latter will require new tools)
      • What key new metrics are needed? What traditional metric/s needs to be revisited?

      What specific decisions can Operations directly support to address the profitability squeeze (due to inflation)? How?

      Stop looking for (system enabled) answers in the wrong places

        To navigate successfully, in this new, rapidly changing environment requires a Rethink – especially regarding process,data and analysis support needed by cross-functional Operations teams. Do not expect a zero-risk mindset to work if you are trying bring on-board any new capabilities that your enterprise currently needs, or may not know that it needs. The right partner can help uncover these ‘unknown needs’. And casting off this zero-risk mindset is a prerequisite to drive profitable operations.

        Too many companies scale operations to reach a certain ‘threshold’ volume, only to decide, without adequate due-diligence, that their growth is being constrained because their existing ERP system cannot “scale up”, and that they need ‘add on’ ERP capabilities from the incumbent, or (worse) start implementing a new ERP system.

        This is a classic “integrated-solution out of the box” logical fallacy which is played upon by entrenched incumbent providers (especially ERP software provider and their cohorts). Why is this a fallacy?

        This is a classic “integrated-solution out of the box” logical fallacy which is played upon by entrenched incumbent providers (especially ERP software provider and their cohorts).

        Most ERP[1] systems have been laggards, even to date (2021 – 2022), in vital areas such as “Planning”, especially context-rich planning, which, ironically, is what the ‘P’ in ERP is supposed to stand for.

        Some ERP suppliers have plugged their holes partly with acquisitions. Despite this, they struggle and make their customers struggle, under the unending burden of their long, expensive implementation cycles, often, even for basic ERP (Accounting/ General Ledger, Inventory) capabilities.

        Unfortunately, since risk-aversion in adopting and implementing systems runs high among decision influencers, the malaise persists. “No-one got fired for buying XYZ” being the prevalent mindset (replace XYZ with any of the afore-referenced providers) – a system largely built to be a repository of transactional data, is stretched and patched to “add on” other capabilities – in the name of “integrated solution”, only to fall woefully short.

        Looked at another way- a largely “commodity” software with “General Ledger/ Accounting” as its core, has been stretched and bloated to be utilized for highly specialized and often strategic needs, without having qualifying capabilities or people to support the extensions (at the ERP provider). This is damaging in the short and the long run for the product enterprises deploying these, given the predictable longevity of these implementations.

        The questions to ask internally is –

        • Can we wait 2-3 years to get these critical operations management capabilities***? And incur the costs (of waiting)?
        • Do we understand our “systems” decision blind spots and biases?
        • Are we even looking at the right type of system solution or provider partner?

        *** 2-3 years based on actual data from Zyom. less than 50% probability of expected outcome in areas of planning, context-specific analytics, operations execution

        On Leadership, in brief

          With a seasoned Operations leader at the helm, who has seen a few operating seasons, and knows about “why” and “what” of specialized Operations Management systems, these de-risking debacles (“let’s do it all in our ERP system modules”) are pre-empted – i.e., cognitive biases and fallacies mentioned before, avoided or overcome. However, the very companies that need such leaders – growing mid-size companies or younger, faster paced scale-ups – do not have access to such leaders in a timely manner.

          The question for the CEO and senior leadership team is:

          • Do we have a seasoned Operations leader who not only understands the business needs (what’s needed in the supply chain, team) but also recognizes the unique data and system enablement needs of operations? If not – identify a suitable partner (internally, and externally).
          • Do they know (or have adequate support to identify) what types of software systems outside of ERP are available and effective to support Operations teams?

          Implementation is It.

          Perhaps this is the most important learning of all.

          In fact, this is where most worthy operational change goals can bite the dust, especially if “lets extend the (heck out of out) ERP system” mindset persists, when considering system enablers. This is where specialized providers (such as Zyom) create a better world for Product companies and its system users, by being laser focused on Implementation, no matter what. This is the only way meaningful changes are implemented and benefits realized.

          Once the initial “visioning” has happened, the hard and soft requirements have to be “implemented”, whether in changes to processes, or to software systems enabling the process change. This is where many, if not most, ambitious digital enablement efforts fall way short. Digital transformation remains a distant pipe dream.

          A sizeable volume of words won’t be enough to cover key learnings about such system implementations and how it is effectively integrated into processes (potentially, a future post). Needless to say, to attain/sustain/grow profitability, a new way is required – new collaborations and potentially new systems and tools.

          .. to attain/sustain/grow profitability, a new way is required – new collaborations and potentially new systems and tools

          Because, this is where the rubber hits the road, and things can go flat and flounder, or zoom forward, even soar.

          With a new 2023 starting, this is the right time to sketch out such a change, talk to such a partner.

          Reach out. Start a conversation.

          products@zyom.com


          [1] ERP (Enterprise Resource Planning) providers – SAP, Oracle, other larger ones (trademarks, etc. owned by the respective companies)

          Lead time – A Time to Refocus

          Lead time metrics seldom gets senior leadership level attention outside of Supply Operations, until something blows up badly, such as the 2011 tsunami overwhelming Japan’s economy and its swift, cascading impact on automotive and electronics supply chains world-wide.

          More recently, in the midst of the world-wide pandemic, there has been a spate of headline-grabbing bad news from large auto makers and other industries, all traced back to growing lead-time of parts/ component and products [i].

          Auto makers, after seeing an unexpected surge in demand starting Q3, 2020, are now stuck in neutral, exposed to painful revenue and profit shortfalls due to semiconductor chip shortages over the near-term (calendar Q1 through Q2/early Q3, 2021), possibly longer – forced to idle factories and people, for months. Unexpectedly large (and growing) lead-time of critical parts are squeezing both top and bottom lines. All this at a time when auto, and other industries, are trying to get back to some semblance of ‘normal operations’ after intermittent and prolonged shutdowns earlier in the pandemic.

          The current lead time debacle need not have been this bad, the pandemic and subsequent sharp surge in demand (across some segments) notwithstanding.

          Lead time of products, key components and raw materials are critical variables which require timely and regular attention of (yes) CEO/ COO of any product company serving multiple geographies and relying on global supply networks. Now, with long and uncertain lead times in the form of persistent shortages, it has the CEO’s attention again.

          How do we break out of this endless cycle of using lead time as a ‘reactive’ metric, and use it to gain an operating advantage?

          What’s your Lead time? A Measurement Gap

          Wildly swinging lead-times are usually the tip of the iceberg. Below the surface are many causal forces –

          • inadequate manufacturing capacity, new industries competing for scarce capacity and supply (e.g., auto industry vying for the same fab capacity used by electronics makers), or
          • gaps in planning and collaboration processes (with supply chain partners), missing system capabilities, or simply not knowing what innovations are available to tackle lead-time unreliability. This is the purview of this write-up.

          One of the primary needs is the ability to measure the lead-time of products – quickly and accurately. To date, planners, buyers and analysts, even in larger, well-run companies find themselves leaning on spreadsheets and “notes” (from their latest calls with supplies) when asked –

          “What’s the lead time of XYZ product?” – their own product, which is getting supply constrained.

          Most often, the product’s lead time data in their ERP systems is dated. Makes sense – most of the lead-time info in their ERP system is supplied by the buyer/planner’s spreadsheet.

          For component parts and critical sub-assemblies that are procured from suppliers, product companies are often totally dependent on the lead-time data they get from their manufacturing partners – CM[1] in hi-tech electronics product makers or Tier 1 suppliers in automotive and other manufacturing-intensive supply chains. With an arms-length relationship with the eventual parts’ suppliers (either Tier 2, or sometimes upstream), it’s not surprising that these numbers fed to the product companies can be dangerously stale.

          Astute operations and supporting IT teams understand these gaps – that ERP is a system for ‘recording’ (storing) lead-time data, and not designed to measure lead-time. They need a different approach, different processes to capture this data quickly and accurately, and often, a new enabling system.

          Astute operations and supporting IT teams understand these gaps – that ERP is a system for ‘recording’ (storing) lead-time data, and not designed to measure lead-time. They need a different approach..

          Tackling unreliable Lead times – Focus on right Process & System

          However, before embarking on a project to plug the gap – ‘fix lead-time’ data and systems, it’s important to identify any bottlenecks in the end-to-end processes from demand through supply planning and all the steps that lead to the subsequent shipments from suppliers. For supply chains that are impacted by long lead-times on components that are further upstream of their Tier 1 supplier (or CM/ODM[2]), analyzing this end-to-end process is just a start, and may not close the gap due to variability in component lead-times.

          If you have not done this, it is best to wrap your arms around product lead times looking at processes and interactions with the immediate upstream tier of supply, at the get go – i.e., between the product company and its Tier 1 supplier (CM/ODM).

          Once the process bottlenecks and disconnects are removed, the company is in a position to systematically measure the lead-time of their products from this vantage point (with Tier 1 supplier).

          As soon as companies gain visibility and some control over product lead time, they can plan the more demanding and potentially uncharted territory of expanding these processes to include critical Tier 2 supply.

          Design for Implementation and usage

          Once process related constraints are identified and resolved (via suitable agreements with supply chain partners to share data), companies can proceed to the next step, namely – providing a system enabler that works in simple manner to capture lead-times.

          Specialized solutions built on the cloud are ideal, since most processes are executed collaboratively. Ensure that the system is fast to implement and quickly gains traction with all users, including the supplier users. A “large, ERP mindset” (‘small army’ of people, ‘large’ implementation centered) and ‘hit-and-miss’ post implementation stabilization and usage, is a sure shot to an expensive failure.

          Take the lead with your Lead time

          A recent article outlines our findings of new approaches and innovations in process and system from younger, dynamic growing product companies that are successfully scaling operations while facing larger competitors, as well as larger technology companies with leading supply chain operations practices, both of which have navigated supply chain disruptions – large and small.

          Use the information from this article to brainstorm with your senior leaders (CEO/ COO) specific areas that need to be re-thought through and acted upon, both at a macro and micro-process level

          For example, in the case of macro-process, answer key questions such as –

          • How can product Lead times be measured systematically which is closer to reality (if not real-time)?
          • What is the end-to-end process and supporting system needed that can measure lead-times accurately?

          What is the end-to-end process and supporting system needed that can measure lead-times accurately?

          For micro-process dive into specific processes and system changes that are economically implementable, such as –

          • A Lead-time review process to identify lead time outliers and take corrective actions rapidly.

          Ideas from the above referenced article can help you define the extent of your lead time challenges and opportunities, providing you an outline of a few key process and system areas that need to be rethought, redesigned (as needed) and retooled. Use these to bring your lead-time picture into much sharper focus, gaining an operating advantage in the process.

          Lead time requires focused leadership on process and system. Falling behind is not an option.

          *Please email contactus@zyom.com with questions or additional information needs.


          [2] ODM = original design manufacturer (using in hi-tech electronics supply chains)


          [1] CM = contract manufacturer (in hi-tech electronics supply chain)


          [i] Reference: Chip Shortage Spirals Beyond Cars to Phones and Consoles Bloomberg, February 7, 2021
          https://finance.yahoo.com/news/chip-shortage-spirals-beyond-cars-200059989.html

          What’s the demand? Solution to a most demanding enterprise

          Determining Demand – A hard problem. Reasons why this is hard problem. Why current systems are a bottleneck. Thinking anew about Demand and systems needed – in ever intensely collaboration-dependent enterprises & their value networks

          A hard problem – What’s the demand?

          Pinpointing what is the real demand that a product company has to build to – this is clearly one of the hardest Operating problems in the Hi-tech branded products industry. Let’s try to uncover why? Why focused energies need to be expended at the senior-leadership level to ensure that the right approach and yes tools are applied to solve this problem.

          Different Roles, Different lenses

          Experienced industry practitioners well know “Demand” for a company’s products may mean different things to different functions.

          final-blogpic-pinpointing-demand-zyom-img_5752-v2

          For the CEO this starts with the current and next year’s target, crystallized out of a periodic business planning cycle (Annual, Quarterly) into target Financial numbers (Dollar forecast) – often a range. In the best cases, this is arrived at collaboratively with inputs from Finance, Sales, Marketing, Product Engineering and Operations. Although, we have some data-points to believe that Operations maybe involved sub-optimally to the detriment of the company’s execution to its business plan.

          For the Sales leader this means current Quarter’s & next quarter’s Sales forecast.

          For Marketing, this is looking at Product Mix and plan based on product launches, transitions, events.

          Engineering cares most about baking feedback from recent launches and providing reliable launch time-frames.

          For the Operations leader and team this means determining – what is the net demand that has to be built and shipped in the current & next cycle (monthly, quarterly) and prepare in case demand flexes. In essence answer –

          What is the net Demand that Operations needs to build or buy for?

          As plan adjustments are made based on how Sales is tracking to their numbers and other factors impacting demand, Ops needs to answer – What to plan, source, procure, build, ship, deliver & manage the myriad changes to – so that quarterly financial numbers are met or exceeded.

          Often, this is made harder by the fact that Operations are downstream recipients of the company’s Annual or Quarterly Plan, sometimes not pro-actively involved at the get-go in the business planning process.

          Degrees of difficulty

          What is the demand that Operations should execute to, becomes harder to answer due to many factors. Let’s consider these –

          • Young companies in a growth mode go through many changes rapidly – growing the number of products, establishing the number of Channels they sell through, the number of customers and countries they deliver to. This means that the structural value networks themselves are changing, sometimes quite frequently.
          • In addition, the demand from these different Sales channels and direct customers is fluctuating. By Sales Channels we mean all the indirect channels through which a company sells. This includes Resellers, VARs (Value Added Resellers), Distributors and VADs (Value Added Distributors).
          • A system to support Operations do this is very often the Achilles heel. Experienced Operations leaders know ERP provides valuable Supply data & some input data to determine demand, however they cannot depend on their ERP systems alone for fast and accurate planning and re-planning for Demand.

          Demands thinking out of the box

          ERP is not a panacea or cure-all. Most experienced Operations leaders know they have to think and act out of the ‘ERP box’ if they want to get to their demand picture quickly and accurately, in an environment where change is a constant.

          Operations leaders know they have to think and act out of the ‘ERP box’ .. to get their demand picture quickly and accurately

          To make this happen, experienced Operations leaders direct their teams to extract data from ERP, merge it with other data and intelligence from outside such as emails, in their own offline spreadsheets and then determine demand. However, they dread this and know fully well they can only go so far in managing their demand with spreadsheets.

          Spreadsheets are errors prone and cannot be relied on for collaboration.

          When any of the inputs change (say, inbound P.O.s), inputs that are needed to determine real customer Demand to be fulfilled – the spreadsheet(s) go through a domino effect and all numbers become incorrect instantly. The process to change the data in spreadsheets to re-compute demand is painstaking and does not meet the cycle-time or accuracy needs of growing enterprises in competitive markets where collaboration is a pre-requisite.

          Operations teams need a specialized system. A system that can rapidly reflect all upstream changes (such as Sales execution, Marketing actions) impacting demand.

          Operations teams need a specialized system.. added on top of ERP. .. cannot be done in your ERP system

          As we head deep into Q4, the ability to rapidly generate “Demand for Build” reflecting changes and shifts is a critical one – and these capabilities need be added on top of your enterprise systems like ERP. It cannot be done in your ERP system.

          Dynamic companies such as Ruckus Wireless, Aerohive Networks have done just that and reaped significant benefits. Implemented right, such a system can be a key factor in scaling operations, while facing changes that impact growing demand. How do we know this? We have provided the system for their Operations teams. Please pen down your thoughts below or reach out to us at Zyom. We would love to share more.

          p.s. This blog post is dedicated to the memory of Doyle Westley of Aerohive Networks, a respected collaborator

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