How Much Does an Owner Make from Inventory Forecasting?

Curious about the earning potential of an inventory forecasting business? While exact figures vary, owners can see substantial returns, with many businesses achieving profit margins of 15-30% or more, depending on their service offerings and client base. Ready to explore how robust financial modeling can illuminate your path to profitability? Discover the tools that can help you forecast your own success at financialmodel.net.

Strategies to Increase Profit Margin

To enhance profitability within an inventory forecasting business, a multi-faceted approach focusing on strategic specialization, technological integration, optimized pricing, client relationship management, and operational streamlining is crucial. These strategies aim to not only increase revenue but also to reduce costs, thereby improving the overall profit margin.

Strategy Description Impact
Specialization Focusing on a niche industry to develop deep expertise and tailor solutions. Potential profit margin increase of 5-10% compared to generalist firms.
Technology Leverage Automating complex analysis with AI/ML for superior accuracy and scalability. Reduced operational costs and increased value proposition.
Strategic Pricing Models Implementing tiered or value-based pricing and offering premium add-on services. Maximizing revenue from diverse client segments and increasing average client lifetime value.
Client Retention and Upselling Focusing on exceptional service and upselling complementary services to existing clients. Significantly more cost-effective than client acquisition, leading to stable recurring revenue.
Operational Efficiency Streamlining internal processes and automating routine tasks to reduce overhead. Reduced expenses, allowing for better management of more clients and improved net profit.

How Much Inventory Forecasting Owners Typically Make?

The income an owner can expect from an inventory forecasting business varies considerably. For a founder of a well-established inventory forecasting firm or a CEO at a successful startup in the United States, annual earnings often fall between $100,000 and over $300,000. This range is heavily influenced by the company's size, its client base, and the overall success of its operations. For example, PredictStock, an AI-driven solution, can significantly boost owner income through recurring revenue models.

For independent consultants or sole proprietors focusing on inventory management consulting, the annual income can be more modest initially, typically ranging from $75,000 to $150,000 in the early years. However, there's substantial growth potential as client relationships deepen and the range of services offered expands. Building a strong reputation in demand planning consulting can lead to higher fees and a more consistent earning stream.


Factors Influencing Inventory Forecasting Business Profitability

  • Recurring Revenue: Businesses utilizing SaaS models for AI-driven solutions, like PredictStock, benefit from predictable income, which directly impacts owner draw. A company generating $1 million in annual recurring revenue might allocate 10-20% to owner compensation after covering operational costs.
  • Client Base and Fees: The number and size of clients, along with the typical client fees for inventory forecasting services, play a crucial role. Larger clients often mean larger contracts and therefore, higher potential revenue for the business owner.
  • Service Offerings: Expanding services beyond basic forecasting to include warehouse optimization, logistics software integration, or comprehensive supply chain analytics can create multiple revenue streams for an inventory forecasting and optimization company.
  • Operational Efficiency: Managing expenses effectively is key. Understanding break-even analysis for an inventory forecasting business owner and minimizing costs related to talent acquisition, technology, and marketing directly impacts the owner's take-home pay.

New ventures, such as an inventory forecasting startup, might see lower initial owner compensation. The average owner income in this phase could be around $50,000 to $80,000 annually. This is often because profits are strategically reinvested into scaling the business, hiring skilled professionals, and developing the core technology, rather than being distributed as owner salary. This reinvestment is crucial for long-term growth and increasing the eventual owner's draw from a successful inventory forecasting company. You can explore starting costs and their impact on owner earnings in more detail at financialmodel.net.

The income potential for an independent inventory forecasting consultant is directly tied to their expertise and client acquisition success. As these consultants build a portfolio and a reputation for delivering tangible results, such as reducing stockouts or optimizing inventory levels, their earning potential increases. This aligns with the overall market demand for inventory forecasting services, which remains strong as businesses increasingly focus on supply chain efficiency.

Are Inventory Forecasting Profitable?

Yes, inventory forecasting businesses are generally profitable. This profitability stems from addressing a crucial need for companies aiming to optimize their supply chains and reduce inventory carrying costs. Businesses like PredictStock, which utilize advanced analytics and AI, find a strong market demand because they directly solve significant operational challenges.

The demand for inventory forecasting services is robust. This is largely because businesses are constantly seeking ways to improve efficiency and cut expenses. The broader supply chain management market, which encompasses inventory forecasting, is expected to grow significantly. Projections indicate a Compound Annual Growth Rate (CAGR) of 10-12% from 2023 to 2028. This growth signals a healthy revenue potential for both sole proprietors and larger firms in the inventory forecasting sector.

Profit margins for smaller inventory forecasting businesses can be quite healthy. This is particularly true for service-oriented models or Software-as-a-Service (SaaS) offerings where operational overhead can be kept manageable. Such models allow for significant earning from inventory forecasting activities.

Factors Influencing Inventory Forecasting Business Profitability

  • Market Demand: A consistent need for supply chain optimization drives revenue.
  • Technology Adoption: Leveraging AI and advanced analytics can command higher fees.
  • Service vs. SaaS Models: SaaS often offers recurring revenue and scalable profit margins.
  • Operational Efficiency: Managing overhead effectively directly impacts profit margins.

Companies offering specialized solutions, such as PredictStock's AI-driven platform, can charge premium client fees for their inventory forecasting services. Enterprise-level contracts, for example, can potentially generate hundreds of thousands of dollars annually. These substantial contracts directly contribute to the overall inventory forecasting business profit.

The earning potential for an independent inventory forecasting consultant can be substantial. Factors influencing this include the consultant's expertise, the client's size, and the complexity of the forecasting needs. Consultants often charge based on project scope, hourly rates, or retainer agreements, with typical client fees for inventory forecasting services varying widely but generally reflecting the value delivered in cost savings and efficiency gains.

What Is Inventory Forecasting Average Profit Margin?

The average profit margin for an inventory forecasting service typically falls between 15% and 30%. Businesses that are particularly efficient and leverage advanced technology, especially those offering software-as-a-service (SaaS) models, can see these margins climb even higher, sometimes exceeding 40%. This is a key factor when considering the earning potential for an inventory forecasting business owner.

For businesses focused on logistics software or supply chain analytics, the income potential can be quite robust. Gross margins for pure software sales in these areas can reach 70-80%. However, for businesses that rely more heavily on consulting services within the supply chain analytics space, net profit margins, after accounting for operational expenses, might settle closer to 20-25%. Understanding these different revenue models is crucial for assessing supply chain analytics business revenue.


Factors Affecting Owner Income in Inventory Forecasting

  • Research and Development (R&D): Significant investment in developing advanced AI algorithms for forecasting.
  • Marketing and Sales: Costs associated with acquiring new clients for inventory management consulting.
  • Skilled Personnel: Salaries for data scientists, software engineers, and supply chain experts are essential.
  • Technology Infrastructure: Maintaining and upgrading the software and hardware needed for the service.

These expenses, while impacting initial profit margins, are vital for building a competitive advantage and ensuring greater long-term profitability. For example, a company like PredictStock, which offers an AI-driven inventory forecasting solution, aims to optimize stock and cut costs for US businesses. Such businesses often utilize recurring subscription or project-based fees for their services. Once a SaaS platform achieves economies of scale, particularly with optimized client acquisition costs, it can realize net profit margins of 25-35%. This demonstrates the scalability and potential for increased business forecasting services revenue.

When looking at how inventory forecasting consultants get paid, they often charge based on project scope, the complexity of the data, or a recurring retainer fee for ongoing support and system updates. Typical client fees for inventory forecasting services can vary widely. For a small inventory forecasting business, owner earnings might be modest initially, but as the business scales and builds a client base, the owner's draw from a successful inventory forecasting company can increase substantially. Factors influencing the income of an inventory forecasting business owner include the size and type of clients served, the pricing strategy, and the operational efficiency of the business. A well-run inventory forecasting business can indeed be profitable for owners, with revenue potential for a sole proprietor inventory forecasting firm growing over time.

How Do Inventory Forecasting Consultants Get Paid?

Inventory forecasting consultants, like those at PredictStock, employ several payment models to align with client needs and project scope. These methods ensure flexibility and value delivery, contributing to the owner's income from the inventory forecasting business.

The primary income streams for an inventory forecasting company often involve a mix of project-based fees and ongoing service agreements. Project fees are common for initial assessments or implementing new forecasting systems. For instance, a comprehensive supply chain analytics business might charge a fixed fee for a demand planning project, ranging from $10,000 to over $100,000, depending on the business's size and the project's complexity.

Retainer agreements provide a steady revenue stream for inventory management consulting income. In this model, clients pay a recurring fee, often monthly or annually, for continuous support, system monitoring, and regular forecast adjustments. This ensures predictable income for the inventory forecasting business owner, making it easier to manage operational expenses and plan for growth.

Common Payment Structures for Inventory Forecasting Services

  • Project-Based Fees: Charged for specific, defined projects like system implementation or a one-time forecast analysis. These can range from $150 to $500 per hour for specialized consulting.
  • Retainer Agreements: Ongoing monthly or annual fees for continuous support, optimization, and regular updates. This offers predictable revenue.
  • Subscription Models (SaaS): Clients pay for access to proprietary software solutions like PredictStock. Pricing tiers vary, often from $500/month for small businesses to $10,000+/month for enterprises, based on usage and features.

The value delivered is a key factor in determining demand planning consultant earnings. Consultants often tie their fees to tangible results, such as reducing inventory holding costs by 10-20% or improving service levels by decreasing stockouts by 5-15%. This performance-based approach justifies higher fees and demonstrates the direct impact of effective inventory forecasting on a client's bottom line.

For businesses offering logistics software or warehouse optimization services, software sales represent a significant portion of revenue. PredictStock, an AI-driven inventory forecasting solution, utilizes tiered subscription plans. These plans are structured to accommodate different business sizes, ensuring that even startups can access advanced forecasting tools while larger corporations benefit from comprehensive enterprise solutions. This model creates consistent, recurring revenue, directly impacting the owner's take-home pay from the inventory forecasting business.

What Factors Influence Inventory Forecasting Owner's Income?

The income an owner makes from an inventory forecasting business, like one offering solutions similar to PredictStock, is influenced by several key elements. These aren't just about how many clients you have, but also how you structure your business and the value you deliver. Understanding these drivers is crucial for anyone looking to maximize their earnings in this field.

Business Model: SaaS vs. Consulting

The core business model significantly shapes owner earnings. A Software as a Service (SaaS) model, where businesses pay recurring fees for access to an inventory forecasting platform, offers a predictable revenue stream and higher scalability. For example, a SaaS product like PredictStock can generate consistent monthly income per client. In contrast, a purely consulting-based model relies on billable hours, which can be less predictable and harder to scale without hiring more staff. While consulting can command high hourly rates, potentially ranging from $150 to $500+ per hour depending on expertise, the recurring nature of SaaS often leads to greater long-term owner profit.

Client Acquisition Volume and Size

The number and size of clients you serve directly impact your revenue. Acquiring a larger volume of smaller clients requires robust sales and marketing processes, but each client may contribute less. Conversely, landing fewer, larger enterprise clients can yield substantial contracts. Larger enterprise clients typically pay higher fees and commit to longer contract terms, often 1-3 years, compared to small and medium-sized businesses (SMBs). This disparity can significantly boost the average annual revenue for a small inventory forecasting firm as it grows and secures bigger accounts. For instance, a small inventory forecasting firm might see its average annual revenue jump from $200,000 to over $1 million within a few years by focusing on enterprise clients.

Value Proposition of the Service

The perceived value of your inventory forecasting services is paramount. If your solution, like PredictStock, demonstrably reduces stockouts by, say, 20% and cuts carrying costs by 15%, you can command premium pricing. A strong value proposition, backed by data and case studies, allows owners to justify higher fees or subscription costs. Businesses are willing to pay for solutions that directly improve their bottom line, reduce waste, and prevent lost sales. This is where demonstrating ROI becomes critical; if a client saves $50,000 annually due to better forecasting, they are more likely to invest $10,000-$20,000 in your service.

Operational Efficiency and Profit Margins

How efficiently your business operates directly affects the owner's take-home pay. For a SaaS business, keeping Customer Acquisition Cost (CAC) low and maintaining a high Lifetime Value (LTV) is key. If your CAC is $500 and LTV is $5,000, your profit margins are healthy. For consulting, managing overhead, minimizing non-billable hours, and streamlining project delivery are essential. The impact of software sales on inventory forecasting owner earnings is substantial; scalable software products often offer higher profit margins, potentially 70-90% after development costs, compared to service-based models that might have 40-60% margins after salaries and overhead. This scalability means an owner can grow revenue significantly without a proportional increase in expenses.

Qualifications and Expertise

An owner's expertise and qualifications play a vital role in determining earning potential. Specializing in areas like AI-driven demand planning, advanced supply chain analytics, or specific industry nuances (e.g., retail, manufacturing) allows you to stand out. Possessing certifications or a proven track record in these niche areas enables owners to command premium rates and attract high-value clients. For example, an inventory forecasting consultant with a background in machine learning and a strong portfolio of successful optimization projects might charge $300 per hour, whereas a general business consultant might only charge $150 per hour. Expertise directly translates into higher fees and a stronger ability to demonstrate the tangible benefits of your services, impacting overall profitability.

How Can Inventory Forecasting Businesses Increase Profits Through Specialization?

Focusing on a niche industry, such as retail, manufacturing, or healthcare, allows an inventory forecasting business to develop deep expertise. This specialization enables the creation of highly tailored solutions that significantly boost client satisfaction. When clients see their specific challenges addressed with precision, they are often willing to pay a premium for these targeted services, directly impacting the inventory forecasting business profit.

By concentrating efforts within a specific sector, firms can also see a reduction in marketing costs. Instead of broad outreach, marketing becomes more focused and efficient. This targeted approach helps establish the business as a thought leader in its chosen niche. As a result, clients are more likely to choose and pay more for specialized solutions, potentially increasing profit margins by an estimated 5-10% compared to generalist firms. This efficiency directly contributes to higher earning from inventory forecasting.


Benefits of Specialization in Inventory Forecasting

  • Develops Deep Expertise: Focusing on a niche, like retail or healthcare, allows for unparalleled understanding of industry-specific inventory challenges. This leads to more effective and precise forecasting solutions.
  • Reduces Marketing Costs: Targeted marketing efforts in a specific industry are more cost-effective than broad campaigns, improving the overall efficiency of client acquisition.
  • Establishes Thought Leadership: Becoming a go-to expert in a niche allows for premium pricing and attracts clients seeking specialized knowledge.
  • Enhances Client Satisfaction: Tailored solutions that directly address unique industry problems lead to happier clients and stronger long-term relationships.
  • Increases Profitability: Specialization can lead to higher profit margins, estimated between 5-10%, by justifying premium pricing and reducing operational overhead.

Developing AI-driven solutions for specific challenges within a niche can be a significant differentiator. For example, a business like PredictStock, focused on eliminating guesswork in inventory management, can create advanced algorithms for a particular industry's unique demand patterns. This specialization can differentiate the offering substantially. It also enables higher recurring revenue streams through ongoing software subscriptions or service agreements, thereby enhancing the overall inventory forecasting business profit.

Specialization often leads to greater operational efficiency. When an inventory forecasting business streamlines its processes and tools for specific client needs within a niche, it reduces the complexity of operations. This streamlined approach minimizes expenses that typically reduce owner income in inventory forecasting. For instance, a firm focusing solely on cold chain logistics in the pharmaceutical sector can optimize its data analysis and prediction models more effectively than a firm trying to cater to diverse industries. This improved efficiency directly boosts overall profitability and increases the supply chain analytics business revenue.

How Can Inventory Forecasting Businesses Increase Profits Through Technology Leverage?

Leveraging advanced technologies like AI and machine learning is crucial for boosting profits in an inventory forecasting business. For example, solutions like PredictStock automate complex analysis, significantly reducing manual effort. This automation not only leads to superior accuracy in forecasting but also allows the business to scale efficiently, directly impacting profit margins. Businesses that adopt these technologies can see a substantial increase in their overall earning from inventory forecasting.

Investing in proprietary software and custom algorithms can dramatically cut operational costs. By reducing reliance on third-party tools, an inventory forecasting service can lower its expenses. This cost reduction, coupled with the enhanced value proposition offered to clients through specialized solutions, directly contributes to increased profitability. The earning potential for an independent inventory forecasting consultant often hinges on their ability to offer unique, technology-driven insights.

Technology enables the shift to scalable Software-as-a-Service (SaaS) models. These models inherently offer higher profit potential because the variable cost for each additional client is much lower compared to traditional consulting services. This scalability is key to increasing the average profit margin for an inventory forecasting service, making it a more lucrative venture for owners. The revenue potential for a sole proprietor inventory forecasting firm can be significantly amplified through a well-executed SaaS strategy.


Key Technology Benefits for Inventory Forecasting Businesses

  • Automated Data Integration and Predictive Analytics: Streamlines client onboarding and ongoing management, freeing up consultant time. This allows consultants to focus on high-value strategic advice, leading to more projects and increased supply chain analytics business revenue. For instance, reducing client onboarding time from days to hours means more revenue-generating activities can be undertaken daily.
  • AI and Machine Learning: Enables sophisticated demand planning and reduces forecast errors, leading to better inventory optimization for clients. This improved client outcome translates to higher client retention and satisfaction, boosting inventory forecasting business profit. Businesses using AI for forecasting can achieve accuracy improvements of up to 20-30% over traditional methods.
  • Scalable SaaS Platforms: Facilitates recurring revenue streams and reduces the cost of service delivery per client. This model is fundamental to maximizing the owner's take-home pay from inventory forecasting, as it builds predictable income. The profit margins for small inventory forecasting businesses can soar when transitioning to SaaS.

The impact of software sales on inventory forecasting owner earnings is substantial. By offering a robust software solution, like PredictStock, alongside consulting services, businesses create diversified revenue streams. This dual approach not only diversifies income but also reinforces the business's value proposition, making it more attractive to a wider client base. The average owner income for an inventory forecasting startup can be significantly higher when software is a core offering.

How Can Inventory Forecasting Businesses Increase Profits Through Strategic Pricing Models?

For businesses like PredictStock, which offers AI-driven inventory forecasting, strategic pricing is key to maximizing owner earnings and overall business profit. The goal is to align service value with client needs and financial capacity. This approach ensures sustainable growth and higher owner take-home pay.

Implementing tiered pricing models is a direct way to increase revenue. For example, a business could offer a basic package for smaller clients with lower data volumes, a standard package for medium-sized businesses, and a premium package for larger enterprises needing advanced features or higher data processing limits. This strategy allows the inventory forecasting business owner to capture revenue from a wider client base while ensuring larger clients contribute more significantly to the overall inventory forecasting business profit. Consider that a tiered structure can range from $500/month for basic services to $5,000+/month for enterprise-level solutions, directly impacting the owner's salary.

Another powerful strategy is value-based pricing. Instead of charging based solely on time or features, fees are directly linked to the quantifiable results delivered to the client. For an inventory forecasting service, this could mean charging a percentage of the inventory holding costs saved or a portion of the increased sales revenue attributed to better stock management. This model can justify higher fees because it clearly demonstrates a return on investment (ROI) for the client, making the business's supply chain analytics business revenue more robust. For instance, if a client saves 15% on inventory holding costs, the forecasting business could earn a percentage of that saving.


Additional Revenue Streams for Inventory Forecasting Businesses

  • Offering premium add-on services provides significant opportunities to boost income. These could include advanced analytics dashboards that offer deeper insights into demand planning, dedicated account management for personalized support, or custom integrations with existing ERP systems. These services not only increase the average client lifetime value but also create diverse income streams for the inventory forecasting and optimization company. For a company like PredictStock, a custom integration might cost an additional $2,000-$10,000 one-time fee.
  • Securing annual contracts with upfront payment options for Software as a Service (SaaS) solutions is a smart move for improving cash flow. This practice reduces administrative overhead associated with monthly billing and collections, leading to more predictable revenue. It also provides the business owner with a clearer financial picture, aiding in better financial projections for the inventory forecasting consulting firm and potentially allowing for a higher owner's draw from a successful inventory forecasting company. Businesses offering annual plans often see a 10-20% uplift in revenue compared to month-to-month agreements.

How Can Inventory Forecasting Businesses Increase Profits Through Client Retention And Upselling?

Building a profitable inventory forecasting business, like PredictStock, hinges significantly on nurturing existing client relationships. Focusing on exceptional client service and consistently delivering measurable Return on Investment (ROI) is paramount. This approach fosters strong partnerships, leading to higher client retention rates. It's a well-established business principle that retaining clients is substantially more cost-effective—often by 5 to 25 times—than acquiring new ones.

Proactively assessing client needs and clearly demonstrating the ongoing value of your inventory forecasting solutions opens doors for upselling. This can involve offering additional features, transitioning clients to higher service tiers, or engaging them in complementary consulting projects. Such strategies directly enhance demand planning consultant earnings and boost overall inventory management consulting income.


Strategies for Increasing Owner Profit

  • Focus on exceptional client service: Deliver measurable ROI to build loyalty and increase client retention, which is far cheaper than new client acquisition.
  • Upsell complementary services: Regularly assess client needs to identify opportunities for selling additional features, higher service tiers, or consulting engagements. This directly boosts demand planning consultant earnings.
  • Implement customer success programs: Ensure clients are maximizing the benefits of your inventory forecasting solution. High satisfaction reduces churn and generates valuable referrals, positively impacting your supply chain analytics business revenue.
  • Build long-term relationships: Stable, long-term client relationships create a predictable recurring revenue stream. This allows for more stable financial planning and a greater owner's draw from the business.

Implementing robust customer success programs is key. These programs ensure your clients are fully leveraging the capabilities of your inventory forecasting software, like PredictStock. When clients achieve greater satisfaction and see tangible benefits, it naturally leads to reduced churn. Furthermore, satisfied clients often become your best advocates, providing valuable referrals that can significantly lower your customer acquisition costs and increase your supply chain consulting fees.

Long-term client relationships are the bedrock of a stable income for an inventory forecasting business owner. This steady stream of recurring revenue provides predictability, making financial planning more straightforward. It directly translates to a more consistent and often higher owner's draw from the business. For a sole proprietor inventory forecasting firm, this predictable income is vital for personal financial security and business growth.

How Can Inventory Forecasting Businesses Increase Profits Through Operational Efficiency?

For an inventory forecasting business like PredictStock, boosting owner earnings often comes down to making operations as smooth and cost-effective as possible. This means looking critically at every internal process to find ways to cut unnecessary expenses and maximize the output of the team. When you run a tighter ship, more of the revenue translates directly into profit for the owner.

Streamlining internal processes is a cornerstone of enhancing profitability in inventory forecasting. By simplifying how new clients are brought on board, how data from different sources is integrated, and how reports are generated, a business can significantly reduce its overhead. For example, if a business can onboard a new client in half the time it used to, that's more capacity to take on additional clients without needing to hire more staff. This directly impacts the inventory management consulting income by allowing for a higher client-to-staff ratio.


Key Strategies for Operational Efficiency

  • Streamlining Internal Processes: Reducing time and resources spent on client onboarding, data integration, and reporting directly cuts overhead costs. This allows for managing more clients, thereby increasing overall business forecasting services revenue.
  • Investing in Automation: Automating routine tasks, especially data cleaning and initial analysis, frees up skilled personnel. This allows them to focus on more complex, value-added activities, boosting productivity and the warehouse optimization service profit. For instance, AI tools can process sales data much faster than manual methods.
  • Regularly Reviewing Expenditures: Critically examining software subscriptions, cloud computing costs, and other operational expenses ensures resources are used efficiently. Optimizing these costs can lead to a direct increase in the inventory forecasting business profit. A review might reveal that a less expensive cloud provider offers similar performance.
  • Cross-Training Employees: Developing a versatile team by cross-training employees reduces reliance on single specialists. This enhances flexibility and responsiveness, improving service delivery and client satisfaction. Such improvements support sustained growth and, consequently, the owner's income from the supply chain analytics business revenue.

Automation plays a crucial role in this efficiency drive. Routine tasks, particularly those involving data cleaning and initial analysis, can consume a significant amount of a data scientist's or analyst's time. By investing in automation for these functions, skilled personnel are freed up to concentrate on higher-value activities, such as developing custom forecasting models or providing strategic insights to clients. This boosts overall productivity and directly enhances the warehouse optimization service profit.

Furthermore, a diligent review and optimization of ongoing operational expenditures are vital. This includes scrutinizing software subscriptions, cloud computing costs, and other recurring expenses. Ensuring that these resources are utilized efficiently directly impacts the net inventory forecasting business profit. For example, renegotiating software licenses or switching to a more cost-effective cloud provider can yield substantial savings.

Building a versatile team through cross-training employees is another significant factor. When employees have a broader skill set, the business becomes less dependent on individual specialists. This enhances flexibility and responsiveness, which can lead to improved service delivery and higher client satisfaction. Ultimately, this contributes to sustained growth and a healthier inventory forecasting business owner salary.