Compete on Analytics

Analytics & Models

Compete on Analytics

Whether organizations recognize it or not, today’s supply chains compete on analytics. Industry leaders use data-driven insight to reduce uncertainty, increase agility, and synchronize decisions from vendors to customers—maximizing sales while minimizing cost, inventory, and capital investment.

The Opportunity

Organizations hold vast amounts of data that can power Business Intelligence applications—enhancing WMS, TMS, and F&R systems and generating insights across all functions. Yet, this potential often goes untapped because data is not properly cleaned, structured, or accessible, and the skills or IT policies needed to support analytics development and governance are missing.

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Our Approach

We identify high-value opportunities for analytics and bring ready-to-customize BI applications with solid technical foundations and intuitive, dynamic interfaces. Working closely with business and IT teams, we develop, test, and integrate solutions seamlessly into existing operations.

We bridge the gap between business, technology, and people, ensuring solutions are sustainable, adopted, and continuously improved.

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Building the Foundation

We assess data sources, quality, and governance to ensure consistency across functions. We design clean, efficient data-marts, identify valuable data to capture, and help build the business case for IT investment.

Install BI Applications

We provide ready-to-use applications that enable integration, optimization, inventory control, and S&OP, delivering clear reporting, root-cause, and actionable insights. Tools are tailored and embedded into your processes.

Deploy & Support Analytics

We help you roll out and adopt our analytics applications, working alongside your teams and maintaining them as a SaaS. This ensures continuous access, updates, and support while fully leveraging your existing IT infrastructure.

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What We Deliver

List of data tables, and the fields required for advanced analytics
Clear methodologies and formulas for data cleansing and preprocessing
Pre-built applications customized to the business’s needs
Maintenance of those applications
Rationalization of existing reports – creating one version of the truth
Processes embedded into the strategic, tactic, and day-to-day roles and responsibilities
Training and people capability

Core Capabilities our BI Applications Help You Activate

Forecasting Accuracy Management

Improve forecast precision by applying best practices and algorithms by segment and SKU, with dashboards tracking targets vs. performance and financial impact.

Replenishment
Optimization

Set replenishment parameters to meet service levels while optimizing labor and transportation, tailored to each product segment.

Customer Service &
Inventory Insights

Instant root-cause analysis of service disruptions, high inventory, and over-capacity, with drill-down dashboards to focus on what matters most.

Supply Chain Optimization

Optimize OPEX and operational decisions across packaging, shelf capacities, order sizes, production planning, DC balancing, EOQs, and vendor performance.

Sales & Operations Planning (S&OP)

Automatically align SKUs with the best DCs and flow methods, while guiding stakeholders through critical path and promotional calendar planning for cross-functional decisions.

FAQ

Inventory Planning & Optimization: Your Questions Answered

How does advance business intelligence and AI make money?

We can summarize the benefits of Business Intelligence and AI in three main areas. First, they help maximize sales and market share by ensuring the right products are in the right place at the right time, aligning supply with what customers truly want. Second, they optimize capital and operating expenditures (CAPEX and OPEX) by orchestrating decision-making across sourcing, logistics, and inventory—transcending silos of time and teams. This reduces inefficiencies such as overbuying, overhiring, overmoving, overstocking, over-clearing, and overwasting. Finally, they enhance employee productivity by automating data cleansing, integration, and analysis, freeing teams from repetitive manual work and enabling them to focus on interpreting insights and driving results with confidence.

How do we begin this journey?

The first step is to sell the value of Business Intelligence and AI internally, all the way to the C-suite. While this used to be a challenge, the rise of AI has opened more ears at the executive level. Still, it’s essential to quantify the benefits, even at a high level, and demonstrate how analytics can translate into financial, operational, and strategic gains.

In parallel, the organization needs a clear data and AI vision supported by the right foundation—data architecture, cloud infrastructure, governance, and analytical expertise. The benefits extend well beyond supply chain operations, empowering functions like merchandising, sourcing, marketing, finance, HR, and logistics. Building early cross-functional alignment among these teams—though it takes time—creates momentum, credibility, and shared ownership of the data-driven transformation.

What is segmentation and what role does it play in Business Intelligence?

Segmentation is the process of grouping products, customers, or suppliers based on shared characteristics such as velocity, seasonality, predictability, margin, or supply constraints. It helps organizations recognize that not all items or channels behave—or should be managed—the same way.

In Business Intelligence, segmentation plays a foundational role by turning raw data into actionable structures. It allows analytics tools and AI models to tailor insights and recommendations to the specific behavior of each segment. For example, fast-moving, high-margin items might be optimized for service and availability, while slow-moving or imported items might be optimized for cost and inventory efficiency.

Ultimately, segmentation drives focus and precision, enabling more accurate forecasting, better inventory allocation, smarter replenishment, and more informed decision-making across the business.

How much does it cost to do?

This is a common and valid concern. In most organizations, sufficient data exists, but it is often fragmented, unclean, or disconnected. The objective is not to achieve perfection, but rather to ensure consistency, structure, and usability.

Our approach begins by identifying available data sources (sales, inventory, forecasts, shipments, etc.) and assessing their quality. We then prioritize based on key business objectives, focusing on the datasets that directly support high-value analytical applications. Once cleansed, standardized, and consolidated into a single source of truth, even incomplete data can yield meaningful and actionable insights.

How long does implementation take, and what is our involvement?

We offer our analytics applications as a service, with no upfront costs or annual subscriptions. You simply pay as you go. We start by meeting with your supply chain and IT teams to review sample datasets and assess their quality and completeness — all at our cost. Using your own data, we can run demos and show the type of insights our tools generate. This allows your business to see real value before making any commitment.

If your organization needs help building the business case, selling the idea internally, or developing a full data architecture and data mart, we also offer consulting services to guide you through that process.

Let’s Build Smarter Fulfillment Together

Looking to raise service levels, reduce inefficiencies, and get more from your planning systems? We’re ready to help.

Let’s Build Smarter Fulfillment Together

Looking to raise service levels, reduce inefficiencies, and get more from your planning systems? We’re ready to help.