From Chaos to Control: The Enterprise Guide to Demand Management and Inventory Optimization

Introduction: The hidden cost of inventory chaos 

Quarterly reviews reveal the same patterns across enterprise retail organizations. Inventory turns decline as carrying costs escalate, markdown rates climb and stockout multiply. The numbers tell a story, but they rarely expose the root cause. 

Teams across the organization work harder than ever. Planners build increasingly sophisticated forecasts, buyers negotiate aggressively, merchandisers optimize assortments and product teams accelerate development. Yet despite these efforts, results remain inconsistent. 

Demand planning operates independently from product development. Pricing decisions happen without full visibility into inventory positions. Market intelligence rarely informs buying workflows. Inefficiency builds quietly over time. By the time the impact surfaces in quarterly results, the window to act has closed. 

The financial toll is staggering: 

• Retailers lose 12% of annual profits to poorly managed inventory carrying costs [1]  
• Out-of-stock scenarios cost retailers $1 trillion globally each year. North America accounts for $144.9 billion in lost sales [2] 
• Traditional forecasting methodologies show error rates of 30-40% during promotional events and seasonal fluctuations [3] 

These aren’t isolated incidents. They’re symptoms of a systemic problem: enterprise operations built on disconnected technology. 

Here’s the truth retailers outperforming today recognize: inventory optimization isn’t a planning problem, a buying problem or a merchandising problem. It’s a connection problem. 

This guide examines how enterprise retailers transform inventory chaos into strategic advantage by connecting every decision from concept to customer—achieving up to 20-35% inventory cost reduction with measurable ROI within 6-12 months. 

Inventory inefficiency hits across many areas of the business. Each issue reduces profit on its own, but together they create ongoing losses that traditional approaches can’t fix.

Overstocking drains capital

Capital sits idle in inventory on shelves or in warehouses—inventory that never sells at full price. Over time, markdowns become inevitable. The cycle repeats.

Inventory carrying costs typically range from 15-30% of total inventory value [4]. An enterprise retailer holding $50 million in inventory spends $7.5-15 million annually on carrying costs alone [5]. These costs include storage, insurance, depreciation and opportunity cost—capital that could generate returns elsewhere.

Carrying costs often account for 20–30% of total inventory value, consuming a significant portion of inventory value that teams may not fully recognize [6]. The financial impact compounds across multiple locations, channels and markets. Enterprise retailers operating hundreds of stores and distribution centers face astronomical waste.

The root cause? Disconnected forecasting that doesn’t account for product development timelines, pricing strategies, competitive dynamics or real-time market signals. Teams make buying decisions with incomplete visibility. Risk accumulates silently.

Stockouts destroy revenue

Stockouts eliminate immediate sales, but their impact goes far beyond lost revenue. Over time, they erode customer loyalty and allow competitors to capture market share.

Consider this: 51% of products experience at least one stockout period annually. Average downtime lasts 35 days [7]. During those 35 days, every potential sale disappears. Every customer interaction becomes a disappointment. Every competitor gains an advantage.

The customer impact is severe:

• Stockouts drive sales losses of 4% for typical retailers.
• When products aren’t available, customers abandon nearly half their intended purchases [8]
• For enterprise retailers with established customer bases, this represents catastrophic erosion of loyalty built over years.

Operational costs add up quickly. Emergency restocking drives premium shipping expenses, expedited orders disrupt planned cash flow cycles and store associates spend more time managing customer frustration than driving sales. The hidden costs of stockouts extend throughout the organization.

Stockouts persist not because teams lack planning sophistication. They persist because key decisions happen in isolation. Demand forecasting remains disconnected from product development timelines, pricing changes, market intelligence and inventory allocation. When launches slip, competitors adjust pricing or demand shifts unexpectedly, forecasts fall out of sync. By the time teams react, teams have already locked in inventory decisions. Preventing stockouts at scale requires more than better forecasts. It requires connected systems that adjust in real time across the organization.

Teams make decisions based on incomplete or outdated data. Seasonal trends catch them off guard. Promotional impacts remain unpredictable. The result? A perpetual cycle of over-ordering and under-ordering.

Traditional forecasting methods show error rates of 30-40% during promotional events, seasonal fluctuations and unexpected market disruptions [3]. AI-driven forecasting systems reduce error rates to 10-15% [3] but only when connected to real-time data across all functions.

At the enterprise level, this complexity multiplies. Retailers must account for:

• Multiple locations with different demand patterns
• Multiple channels with distinct customer behaviors
• Multiple markets with varying seasonal cycles
• Product categories with different lifecycles

A typical enterprise scenario: Product development creates a new line based on last season’s performance. Planning forecasts demand using historical data. Buying commits to orders months in advance. Pricing sets initial price points without visibility into competitive positioning. Market conditions shift. Competitors launch similar products at lower prices. The forecast becomes obsolete before products arrive.

By the time the disconnect surfaces, teams purchase, ship and distribute inventory. The only option? Markdowns that erode margin and train customers to wait for sales.

The compounding effect

These challenges don’t exist in isolation. Instead, they reinforce one another and amplify their overall impact:

• Product development creates inventory that doesn’t align with market demand
• Demand forecasting operates without visibility into product timelines or competitive dynamics
• Pricing decisions happen without inventory position or market intelligence
• Buying commits capital without real-time demand signals or trend visibility
• Merchandising plans assortments without connection to any of these functions

The result? Retailers lose 12% of annual profits to poorly managed inventory carrying costs [1]. For a $500 million enterprise retailer, that’s $60 million in lost profit annually. For a $2 billion operation, it’s $240 million.

The question isn’t whether disconnected operations cost money. The question is how much—and how quickly brands can stop the bleeding.

Retail operations demand an integrated approach that connects decisions across planning, product development, pricing and execution. When technology connects across these functions, each critical area improves while delivering measurable ROI.

AI-powered demand planning

Machine learning models process millions of data points to generate accurate demand forecasts. Traditional statistical methods rely on historical patterns. AI-powered planning incorporates multi-dimensional analysis, real-time adaptation and pattern recognition that traditional methods miss.

The results:

• Retailers implementing AI-driven systems achieve forecast accuracy improvements up to 40%. [9]
• Some decrease manual order placement time by 76% while improving forecast accuracy by 31-42% [9].
• AI-driven forecasting systems reduce error rates to 10-15%, compared to 30-40% for traditional methods [3].

ROI impact:

• Modern retail demand forecasting reduces inventory costs by 20-35%[10]
• Prevents 65% of stockouts through AI-powered predictions [10]
• Most retailers achieve positive ROI within 6-12 months
• Typical benefits include 15-25% reduction in carrying costs and 5-15% gross margin improvement [10].

Connecting product development to demand planning transforms how brands bring products to market. When PLM connects to demand planning and inventory systems, development aligns with demand. Timing synchronizes with inventory drawdown. Costs optimize through digital product creation.

ROI impact:

• Organizations implementing PLM systems achieve 30% reduction in time-to-market [12]. Products arrive when demand peaks
• Digital product creation and 3D visualization reduce physical sample costs by 30-50% [13]
• Better alignment with market demand increases full-price sell-through
• Coordinated launches prevent excess inventory buildup

Dynamic pricing technology connects inventory levels with competitive intelligence and demand signals. When pricing connects to inventory systems, optimization happens automatically. Prices adapt based on inventory position. Markdowns optimize timing and depth. Competitive responses trigger alerts.

ROI impact:

• Gross margin improves 5-15% through better pricing decisions
• Markdown reduction through optimized timing
• Faster inventory turns reduce carrying costs
• Real-time adjustments maintain competitive position

Real-time competitive and market data informs every inventory and merchandising decision. Market intelligence platforms continuously monitor competitive pricing, assortment analysis, promotional activity, market trends and share of voice.

The connection: When market intelligence connects to inventory and planning systems, proactive buying identifies assortment gaps before competitors fill them. Competitive pricing informs inventory positions. Early trend signals influence buying decisions.

Visual merchandising & planning

Visual collaboration tools connect merchandising teams with planning, buying and product development. Teams visualize assortments, plan inventory allocation and make decisions collaboratively with real-time financial roll-ups.

ROI impact:

• Visual planning tools reduce planning cycle time significantly
• Cross-functional collaboration improves decision quality
• Real-time calculations eliminate spreadsheet mistakes
• Data-driven decisions increase full-price sell-through

Product Experience Management (PXM)

Connecting product content and digital experiences to inventory data ensures customers find products when they’re available. When PXM connects to inventory systems, high-inventory products receive enhanced content. Products appear on channels where inventory needs movement. Out-of-stock products update across all channels instantly.

The unified data platform

All inventory, sales, planning, product development, pricing and market data lives in one connected ecosystem. Teams access the same information. Decisions align across departments. Silos disappear. Every function operates from a single source of truth.

When solutions connect, ROI multiplies beyond individual tool benefits:

• Demand planning accuracy improves when connected to PLM timelines
• Pricing optimization increases when connected to inventory positions
• Product development ROI grows when connected to market intelligence

The connected approach transforms inventory management from disconnected optimizations into unified strategic capability.

The ROI of connected retail operations

Connected technology delivers measurable financial impact across multiple dimensions.

Modern retail demand forecasting reduces inventory costs by 20-35% through AI-powered predictions [10]. For a $500 million enterprise retailer with $100 million in inventory, this represents $20-35 million in annual savings.

The reduction comes from:

• Lower carrying costs through optimized inventory levels
• Reduced obsolescence through better demand alignment
• Decreased emergency shipping through accurate forecasting
• Improved cash flow through faster inventory turns
• Lower storage costs through better space utilization

Carrying cost reduction:

Carrying costs typically make up 25-30% of total inventory value [4]. Connected systems reduce these costs by 15-25% through:

• Optimized inventory levels across all locations
• Faster inventory turns that reduce storage duration
• Better demand forecasting that prevents excess stock
• Coordinated product launches that prevent buildup
• Dynamic pricing that accelerates inventory movement

For an enterprise with $100 million in inventory and 25% carrying costs ($25 million annually), a 20% reduction saves $5 million per year.

Gross margin improvement:

Connected operations protect and improve margin through:

• Reduced markdowns via better demand forecasting
• Optimized pricing based on inventory position and competition
• Higher full-price sell-through from better assortment planning
• Lower product development costs through digital tools
• Improved promotional effectiveness through integrated planning

For a $500 million retailer with 50% gross margin, a 10% improvement adds $25 million to gross profit annually.

Forecast accuracy improvement:

Retailers implementing AI-driven systems achieve forecast accuracy improvements up to 40% [9]. This translates to:

• Fewer stockouts and lost sales
• Less excess inventory and markdowns
• Better cash flow predictability
• Improved supplier relationships
• Enhanced customer satisfaction

Inventory error reduction:

Retailers who implement advanced forecasting methods reduce inventory errors by up to 50% [11]. This means:

• Fewer emergency orders and expedited shipping
• Less safety stock required
• Better inventory allocation across locations
• Reduced write-offs and obsolescence
• Improved working capital efficiency

Stockout prevention:

Connected systems prevent up to 65% of stockouts through AI-powered predictions [10]. For an enterprise losing $10 million annually to stockouts, this saves $6.5 million in recovered sales.

Timeline to value

Months 1-3: Foundation and quick wins

• Core systems implemented (Planning + PLM)
• Initial forecast accuracy improvements visible
• Quick wins identified and captured
• Early ROI: 5-10% improvement in key metrics

Months 4-6: Expansion and acceleration

• Additional solutions integrated (Pricing, Market Intelligence, Visual Planning, PXM)
• Cross-functional workflows optimized
• Automation reducing manual effort
• Cumulative ROI: 15-25% improvement

Months 7-12: Optimization and full value

• All systems fully connected and optimized
• Advanced capabilities activated
• Continuous improvement processes established
• Target ROI: 20-35% inventory cost reduction achieved

Most retailers achieve positive ROI within 6-12 months [10]. As teams master connected workflows, the benefits increase over time.

Improved cash flow and working capital

Connected operations free capital tied in inventory. Faster inventory turns release working capital. Better forecasting reduces safety stock requirements. Optimized buying aligns purchases with demand. Dynamic pricing accelerates cash conversion. Reduced obsolescence preserves capital.

Enhanced customer satisfaction

Connected systems improve customer experience. Higher product availability reduces stockouts. Better assortments align with customer preferences. Faster product development brings trends to market sooner. Optimized pricing delivers better value. Consistent digital experiences build trust.

Competitive advantage in volatile markets

Connected operations drive agility. Real-time market intelligence informs rapid decisions. Dynamic pricing responds to competitive moves. Flexible forecasting adapts to changing conditions. Coordinated workflows accelerate execution. Unified visibility supports strategic pivots.

Cross-functional collaboration

Connected technology breaks down silos. Shared visibility aligns teams around common goals. Integrated workflows reduce handoff friction. Real-time data enables coordinated decisions. Collaborative tools accelerate communication. Unified metrics drive accountability.

Scalability and growth

Connected platforms scale with enterprise growth. Add locations without proportional complexity increase. Expand channels with consistent processes. Enter new markets with proven workflows. Launch new categories with existing infrastructure. Grow SKU count without manual process burden.

Enterprise implementation roadmap

Transforming inventory and merchandising operations requires a phased approach. The most successful enterprise retailers start by establishing a clear baseline, aligning stakeholders, delivering early wins and optimizing over time.

This roadmap outlines a proven path to connected demand planning and inventory optimization, with measurable ROI in 6–12 months.

Objective: Understand current state and define future vision

Map the landscape:

• Map existing systems and workflows across all functions
• Document data flows and integration points
• Identify pain points and inefficiencies
• Quantify costs of disconnected operations
• Assess technology landscape and gaps

Align stakeholders:

• Engage executive sponsors across functions
• Build cross-functional steering committee
• Define shared objectives and success criteria
• Establish governance structure
• Secure budget and resource commitments

Quantify the opportunity:

• Calculate current inventory carrying costs
• Measure stockout frequency and lost sales
• Assess forecast accuracy and error rates
• Evaluate markdown rates and margin erosion
• Quantify manual process costs

Define success metrics:

• Establish baseline metrics across all KPIs
• Define target improvements (20-35% cost reduction)
• Set timeline expectations for ROI
• Create measurement framework
• Align metrics with business objectives

Phase 2: Foundation (Months 1-3)

Objective: Build connected data foundation and implement core systems

Establish data foundation:

• Consolidate data from disparate systems
• Establish data quality standards
• Clean historical data for accurate forecasting
• Create master data management processes
• Build unified data architecture

Implement core systems:

• Deploy demand planning platform with AI forecasting
• Implement PLM system for product development
• Integrate systems with existing ERP and supply chain
• Configure workflows and business rules
• Establish user access and security

Drive adoption:

• Develop role-based training programs
• Conduct hands-on workshops for key users
• Create documentation and support resources
• Build change champion network
• Communicate benefits and expectations

Capture quick wins:

• Target high-impact, low-complexity opportunities
• Implement pilot programs in specific categories or locations
• Measure and communicate early results
• Build momentum and stakeholder confidence
• Refine approach based on learnings

Expected results:

• 5-10% improvement in forecast accuracy
• Reduced manual effort in planning workflows
• Improved collaboration between product and planning teams
• Early inventory cost reductions visible

Phase 3: Expansion (Months 4-6)

Objective: Connect additional solutions and optimize cross-functional workflows

Add pricing and intelligence:

• Deploy dynamic pricing platform
• Implement competitive intelligence system
• Connect pricing to inventory positions
• Integrate market data into planning workflows
• Establish automated pricing rules and alerts

Implement visual planning:

• Deploy visual merchandising platform
• Connect to demand forecasts and inventory data
• Train merchandising and buying teams
• Establish collaborative planning processes
• Integrate with product development workflows

Deploy PXM:

• Deploy product experience management system
• Connect to inventory for availability-driven content
• Integrate with e-commerce and marketplace channels
• Establish content governance and workflows
• Link performance analytics to inventory decisions

Optimize workflows:

• Map end-to-end processes across all systems
• Eliminate redundant steps and handoffs
• Automate data flows between platforms
• Establish integrated planning calendars
• Create cross-functional dashboards

Expected results:

• 15-25% cumulative improvement in inventory costs
• Dynamic pricing protecting and improving margin
• Market intelligence informing proactive decisions
• Visual planning accelerating merchandising cycles
• Digital experiences optimized for inventory movement

Phase 4: Optimization (Months 7-12)

Objective: Achieve full ROI and establish continuous improvement

Measure and refine:

• Track all KPIs against targets
• Identify underperforming areas
• Refine algorithms and business rules
• Optimize workflows based on user feedback
• Expand automation opportunities

Activate advanced capabilities:

• Enable sophisticated forecasting models
• Implement advanced pricing strategies
• Activate predictive analytics
• Deploy AI-powered recommendations
• Expand scenario planning capabilities

Establish continuous improvement:

• Establish regular review cadences
• Create feedback loops from users
• Monitor industry best practices
• Evaluate new capabilities and features
• Plan for ongoing optimization

Validate ROI:

• Calculate achieved vs. projected ROI
• Document success stories and case studies
• Communicate results to stakeholders
• Identify additional opportunities
• Plan for sustained value capture

Expected results:

• Target inventory cost reduction achieved (20-35%)
• Gross margin improvement of 5-15%
• Forecast accuracy improved by 40%
• Stockouts reduced by 65%
• Sustainable competitive advantage established

Secure executive sponsorship

C-level commitment across functions drives success—clear accountability and ownership accelerate progress while adequate budget and resources ensure execution. Strategic importance must be communicated broadly. Visible leadership support maintains momentum.

Build cross-functional teams

Representatives from all affected functions participate. Clear roles and responsibilities establish accountability, while collaborative decision-making processes foster ownership. Shared ownership of outcomes aligns incentives. Teams celebrate cross-functional wins.

Prioritize data quality

Time invested in data cleansing upfront pays dividends. Ongoing data governance maintains accuracy, accountability for data accuracy drives quality, and validation and monitoring catch issues early. Teams treat data as a strategic asset.

Drive user adoption

Users involved early in design decisions build buy-in. Comprehensive training accelerates proficiency, while support resources and communities sustain momentum. Teams gather feedback and act on it. Organizations recognize and reward adoption.

Measure and communicate progress

Metrics tracked consistently reveal trends. Teams share wins broadly across the organization, address challenges transparently, and adjust the approach based on results. Communication maintains momentum.

Overcoming enterprise challenges

Every enterprise transformation encounters obstacles. Here’s how to navigate the most common challenges systematically.

Legacy system integration

The challenge: Enterprise retailers operate complex technology landscapes with legacy ERP systems, custom-built tools and point solutions accumulated over years. Integration complexity can derail implementations.

The solution: Phased integration approach starts with core integrations. Modern integration architecture leverages cloud-based platforms with pre-built connectors. Thorough technical discovery prototypes integrations before full deployment.

Change management across departments

The challenge: Connected operations require changes to workflows, responsibilities and decision-making processes across multiple departments. Resistance can undermine success.

The solution: Visible C-level support drives adoption. Users involved in design decisions build ownership. Change champion networks accelerate acceptance. Role-specific training programs build capability. Strategic importance communicated before tactical changes.

Data quality and governance

The challenge: Connected systems require clean, consistent data across all sources. Poor data quality undermines forecasting accuracy and decision-making.

The solution: Establish a data quality baseline through cross-system audits, define clear quality standards, clean historical data before migration, assign ownership and accountability, and monitor data quality continuously.

Resource allocation

The challenge: Enterprise implementations require significant resources like budget, people, time all while business operations continue.

The solution: Investment spread across implementation phases. Highest-ROI capabilities prioritized. Dedicated resources assigned to implementation. Resources focused on the highest-impact areas. ROI measured and communicated continuously.

The path forward

The inventory and demand management landscape has fundamentally changed. Retailers winning today recognize that disconnected operations no longer work.

Why connected operations are no longer optional

The market has shifted:

• Market velocity has accelerated
• Customer expectations have risen
• Margin pressure has intensified
• Complexity has multiplied
• Technology has evolved
• Competitive advantage has shifted

Brands leading their categories operate on connected platforms. They achieve 20-35% lower inventory costs, 40% better forecast accuracy and 5-15% higher margins. This advantage grows as the organization scales. Disconnected competitors fall further behind.

Quantify current costs:

• Calculate current inventory carrying costs (15-30% of inventory value)
• Measure stockout frequency and lost sales
• Assess forecast accuracy and error rates
• Total addressable cost for $500M retailer: $85M+

Project ROI:

• 20-35% inventory cost reduction = $20-35M savings
• 15-25% carrying cost reduction = $3.75-6.25M savings
• 5-15% gross margin improvement = $12.5-37.5M profit increase
• Total potential value: $50-100M+ annually

Timeline to value: 6-12 months to positive ROI. Payback period: 12-18 months.

Risk vs. reward: Implementation cost of $2-5M delivers annual value of $50-100M+. ROI: 10-50x within 3 years.

Risk of inaction: Continued profit loss of $60M+ annually. Competitive disadvantages increase. Market share erosion accelerates.

Next steps for evaluation

Conduct assessment:

• Assess current state
• Quantify costs
• Identify opportunities
• Develop ROI projections
• Create implementation roadmap

Launch pilot program:

• Start with controlled pilot in high-impact category or location
• Measure results rigorously
• Build internal case for expansion

Align stakeholders:

• Share assessment findings
• Present ROI projections
• Secure executive sponsorship
• Establish governance structure

Execute full implementation:

• Systematic rollout
• Focus on user adoption
• Measure and communicate progress
• Achieve target ROI

Inventory chaos drains profit silently. Disconnected systems create inefficiency that spreads across enterprise operations. The cost—12% of annual profits, $1 trillion in global stockouts, 30-40% forecast errors is unsustainable.

The solution isn’t working harder. It’s working connected.

When demand planning connects to product development, when pricing integrates with inventory positions, when market intelligence informs buying decisions, when visual planning coordinates merchandising, when digital experiences optimize for inventory movement transformation happens.

The results are measurable:

• 20-35% inventory cost reduction
• 15-25% carrying cost decrease
• 5-15% gross margin improvement
• 40% forecast accuracy improvement
• 65% stockout prevention
• 6-12 month ROI

Brands winning today don’t operate on disconnected systems. They’ve transformed inventory chaos into strategic advantage through connected technology.

The question isn’t whether to embrace connected operations. The question is how quickly brands can implement before competitors gain an insurmountable advantage.

Ready to transform inventory operations?

Discover how 20,000+ brands including Abercrombie & Fitch, e.l.f., Guess, LEVI STRAUSS & Co., Hugo Boss, Reformation, Lacoste, Dior, Asics, Wolverine Worldwide, Tesco and Walmart eliminate chaos and drive profitability with connected retail technology.

Request an assessment to quantify opportunities and see the connected platform in action.

From its headquarters in Silicon Valley, Centric Software provides an innovative and AI-enabled product concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. As experts in fashion, luxury, footwear, outdoor, home, cosmetics & personal care as well as multi-category retail, Centric Software delivers best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products.

• Centric PLM™,the leading PLM solution for fashion, outdoor, footwear and private label, optimizes product execution from ideation to development, sourcing and manufacture, realizing up to 50% improvement in productivity and a 60% decrease in time to market.
• Centric Planning™ is an innovative, cloud-native, AI solution delivering end-to-end planning capabilities to maximize retail and wholesale business performance, including SKU optimization, resulting in an up to 110% increase in margins.
• Centric Pricing & Inventory™ leverages AI to drive margins and boost revenues by up to 18% via price and inventory optimization from pre-season to in-season to season completion.
• Centric Market Intelligence™ is an AI-driven platform delivering insights into consumer trends, competitor offers and pricing to boost competitively and get closer to the consumer, driving up to a 12% increase in average initial price point.
• Centric Visual Boards™ pivot actionable data in a visual-first orientation to ensure robust, consumer-right assortments and product offers, dramatically decreasing assortment development cycle time.
• Centric PXM™, AI-powered product experience management (PXM) encompasses PIM, DAM, content syndication and digital shelf analytics (DSA) to optimize the product commercialization lifecycle resulting in a transformed brand experience. Increase sales channels, boost sell through and drive margins.

Centric Software’s market-driven solutions have the highest user adoption rate, customer satisfaction rate and fastest time to value in the industry. Centric Software has received multiple industry awards and recognition, appearing regularly in world-leading analyst reports and research.

Centric Software is a subsidiary of Dassault Systèmes (Euronext Paris: #13065, DSY.PA), the world leader in 3D design software, 3D digital mock-up and PLM solutions.

Centric Software is a registered trademark of Centric Software, Inc. in the US and other countries. Centric PLM, Centric Planning, Centric Pricing & Inventory, Centric Market Intelligence, Centric Visual Boards, Centric PXM, Centric PIM, Centric DAM, Centric Shoppingfeed^® and Centric DSA (including Centric Digital Shelf Analytics) are trademarks of Centric Software, Inc. All third-party trademarks are trademarks of their respective owners.

Media Contacts Centric Software:

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communications@centricsoftware.com

Nav Sangha, Americas

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Kristine Kim, APAC

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