Executive Summary
The consumer packaged goods (CPG) industry is facing unprecedented planning complexity driven by SKU and channel proliferation, shorter product lifecycles, and more demanding retailers and consumers. Legacy ERP systems and spreadsheets, already strained, are no longer up to the task of supply chain planning.
New Horizon provides an AI-powered supply chain planning (SCP) software suite with deep functionality for the CPG industry. AI-enabled supply chain planning provides a path forward, offering the speed, scalability, and intelligence needed to manage real-time data and respond dynamically to market volatility.
Modern CPG manufacturers must master six interconnected planning capabilities to stay competitive on service levels and cost. New Horizon’s AI-powered SCP suite delivers deep functionality in each of these core areas. With New Horizon, CPG companies can achieve faster, smarter, and more coordinated decisions, translating AI insights into measurable gains in supply chain performance.
Top Modern CPG Planning Challenges
Today’s CPG companies face increasingly hard-to-forecast demand from shorter product lifecycles, SKU and channel proliferation, shifting consumer tastes, and frequent promotions.
Your customers are more discerning and demanding. Retailers are consolidating and they’re increasingly using scorecards to evaluate CPG manufacturers. At the same time, private-label competition is growing. All these trends are driving pressure on service levels and costs.
Finally, the industry is changing rapidly. There’s an increased reliance on co-manufacturing (including co-packing), and a deluge of data coming from POS, syndicated, IoT, and other sources — more granular, more real-time. It’s a wealth of valuable information, but a challenge to make use of.
Core Planning Capabilities for CPG Success
CPG organizations need modern supply chain planning software that includes the following core capabilities in order to proactively address these challenges:
- Demand Planning — To create accurate, bias-corrected, promotion-aware forecasts.
- Supply Planning — To ensure agile replenishment and material readiness.
- Production Planning — To optimize production sequencing and plant throughput.
- S&OP and Scenario Planning — To align commercial, financial, and supply plans.
- Data Integration and Connectivity — To unify POS, ERP, supplier, and co-manufacturer data.
- Analytics and Reporting — To measure performance with actionable KPIs.
Let’s dive into the specifics of each capability next.
How New Horizon Delivers Results for CPG
Core Capability #1 — Demand Planning and Forecasting
Demand planning and forecasting requirements in CPG include promotion forecasting, new product forecasting, POS integration, bias tracking, and forecast value added (FVA) analysis.
1.1 Promotion and Event Forecasting
CPG planners must incorporate retailer-driven promotions and trade deals into their forecasts. This requires lift modeling and rapid re-forecasting that is aligned to retailer calendars.
The New Horizon advantage: AI and machine learning (ML)-based promotion and event forecasting, trade lift modeling, and causal forecasting using marketing and POS data result in:
- Better forecast accuracy. According to McKinsey, AI demand planning models can reduce forecasting error by up to 20-50% with promotion-aware, trade lift, and causal forecasting.
- Real-time responsiveness. Capture nonlinear demand spikes dynamically from promotions and events, supporting agile forecast adjustments and timely responses to changing consumer behavior and markets.
- Inventory optimization and cost efficiency. More accurate forecasting cuts excess safety stock and aging inventory, improves on-shelf availability, lowers storage costs, minimizes waste and expedited shipments, increases customer satisfaction, and strengthens cash flow.
1.2 New Product Introduction (NPI)
Frequent SKU introductions and pack refreshes in CPG require forecasting based on similar products and fast ramp-up with minimal historical data.
Attribute-based forecasting, or analyzing specific product characteristics (like flavor, size, or packaging type) produces better forecasts for new products than treating each SKU independently. It helps planners know which attributes drive consumer demand and removes the guesswork from new product demand planning.
The New Horizon advantage: Forecasting based on similar products and attribute-based forecasting for rebrands, pack-size changes, and new variants enables:
- Faster launches. Solve the cold start problem by leveraging historical data from similar products rather than waiting for sales history. Get accurate forecasts in minutes by quickly identifying comparable products with similar attributes. Cut time and effort spent on error-prone manual linking processes.
- Smarter inventory decisions. Improve SKU rationalization by comparing new variants against existing products, driving data-driven portfolio decisions that maximize ROI and improve inventory efficiency.
- Fewer launch risks. Mitigate risk for brands and variants by predicting consumer acceptance and market dynamics to optimize initial inventory, avoiding costly stockouts or overstock situations. Maximize ROI on product development and prevent overloading your portfolio with underperforming SKUs.
1.3 Seasonality and Lifecycle Management
CPG demand follows strong seasonal and holiday cycles. Automated lifecycle phase management avoids inventory build-up or stockouts.
The New Horizon advantage: Seasonal pattern recognition and automatic lifecycle phase-in/phase-out handling give you:
- Accuracy improvements. Capture nonlinear patterns that some traditional forecasting methods miss. Synchronize supply with seasonal demand, preventing both overproduction during the off-season and stockouts during peak seasons.
- Proactive preparation. Dynamically detect demand shifts in product lifecycle stages, eliminate manual intervention, and reduce planning errors when seasonal products launch or discontinue. Ensure smooth transitions without tying up money in obsolete inventory or missing revenue opportunities during phase windows.
- Greater customer satisfaction. Keep on-shelf availability high by optimizing inventory levels while minimizing expedited shipments.
1.4 Forecast Accuracy and Bias Tracking
CPG teams track planner and account bias to correct systematic optimism/pessimism and ensure the forecast process is adding value.
The New Horizon advantage: Forecast value add (FVA) and bias metrics across planner, brand, or channel dimensions provide:
- Improved accountability. AI demand forecasting with FVA and bias metrics objectively measure planner, brand, and channel performance, enabling targeted coaching, process improvement, and resource allocation.
- Bias tracking. Correct systematic over- or under-forecasting, leading to more balanced inventory and fewer stockouts or excesses, especially across complex portfolios with multiple brands and channels.
- Continuous improvement. Highlight where interventions and model refinements deliver the greatest gains in forecast accuracy, inventory turns, and service levels. Use these metrics to refine your forecasting models, adjust planning workflows, and prioritize interventions where they matter most. Drive measurable improvements in forecast accuracy, inventory turns, and service levels over time.
1.5 Causal Forecasting Inputs
POS and syndicated data (such as from Circana (formerly IRI) and NielsenIQ) are essential CPG inputs enabling better understanding of demand.
The New Horizon advantage: Integration of POS, syndicated, and marketing data for driver-based forecasting leads to:
- Improved understanding of demand. Causal forecasting identifies and quantifies how specific drivers, like promotions, pricing changes, competitor actions, and seasonal events directly influence demand. Boost forecast accuracy through precise analysis of trade lift and marketing impact.
- Optimized inventory and costs. Using consumption data increases forecast accuracy and reduces bullwhip effect, thus aligning inventory levels with real market demand. Reduce stockouts and overstocks while cutting carrying costs, expediting expenses, and waste from obsolete products.
- Real-time agility and responsiveness. Integration of real-time POS and marketing data enables continuous forecast updates and rapid scenario analysis. This allows demand planning to respond dynamically to market shifts, promotional campaigns, and demand volatility while improving service levels and customer satisfaction.
| “AI and machine learning have given us better visibility into demand and more accurate forecasts so we can become more responsive to changing conditions,” says David Mörker, senior director and head of information technology. He adds that Faribault Foods can improve customer service levels while reducing inventory and supply chain costs.” – Inbound Logistics |
Core Capability #2 — Supply Planning
Today’s CPG companies need procurement planning, daily/weekly Distribution Requirements Planning (DRP), supplier collaboration, co-manufacturing visibility, and MEIO (multi-echelon inventory optimization).
2.1 Procurement Planning
Packaging components and co-manufacturing capacity in CPG are highly demand-sensitive and capacity-constrained. As a result, they present particular challenges with respect to procurement and frequent plan adjustments, more so than for the raw materials used for internal manufacturing.
The New Horizon advantage: Aligning raw and packaging material purchases with production demand and managing minimum order quantities (MOQs), lead times, and supplier collaboration offers:
- Leaner operations. Reduced excess safety stock and carrying costs. Intelligent MOQ management prevents over-purchasing, optimizing cash flow and storage.
- Better supplier relationships. Coordinating supplier schedules with production plans ensures just-in-time delivery and lowers the risks of stockouts and production stops. Strong supplier collaboration gives you early visibility into potential supply risks or delays, allowing you to proactively adjust schedules and minimize disruptions.
- Greater agility and responsiveness. Tight integration of procurement and production means faster reaction to demand fluctuations and promotions by dynamically adjusting raw material orders based on near-real-time production forecasts. This translates to shorter lead times, rapid product changeovers, and smoother handling of new launches or seasonal demand changes, improving overall service levels and customer satisfaction.
2.2 Co-Manufacturing / Co-Packing
Heavy reliance on co-manufacturers and co-packers demands collaborative planning and shared visibility in CPG supply networks.
The New Horizon advantage: Visibility into partner capacity and consumption of supplied materials enables CPG companies to:
- Improve production planning. Sharing info on co-manufacturer capacity and forecasts allows you to better align production schedules with actual capability, minimizing bottlenecks, idle time, and missed deadlines while maximizing efficient use of external manufacturing resources. Stronger collaboration reduces the risk of missed deadlines or unplanned overtime.
- Optimize inventory management. Real-time insight into material consumption at co-manufacturers helps maintain optimal inventory levels, preventing both production-halting shortages and excess stock that ties up capital. Leaner inventory management across the supply chain also reduces carrying and expedited procurement costs.
- Enhance collaboration and resilience. Transparent forecast sharing and usage data fosters closer partnerships with co-manufacturers, enabling early identification of supply risks, bottlenecks, lead time delays, or quality issues. It supports proactive contingency planning and smoother product launches or volume ramp-ups.
2.3 Inventory Optimization
High SKU velocity and retailer fill-rate requirements drive the need for carefully balancing target service levels with inventory positions across plants, DCs, and channels.
The New Horizon advantage: AI-based MEIO is a powerful approach to meeting customer service requirements and minimizing working capital, resulting in:
- Significant inventory reduction. Inventory is coordinated across all supply chain nodes, eliminating redundant safety stocks at plants, DCs, and retail channels. This can cut inventory by 20-25% or more while maintaining high fill-rate obligations, freeing working capital without compromising retailer commitments.
- Enhanced agility and responsiveness. Dynamic inventory positioning based on real-time demand signals and SKU velocity enables faster response to promotional spikes and shifting consumer preferences, reducing lead times and expedited shipments while maintaining on-shelf availability and lowering operational costs.
- Optimized service-capital balance. Precise tuning of inventory buffers at each stage allocates stock closer to high-demand points while minimizing capital for slower-moving items, improving cash flow efficiency and reducing your total cost-to-serve across the network.
2.4 Replenishment Planning
CPG networks must plan replenishment on a daily or weekly cadence to meet DC- and store-level service goals during promotions.
The New Horizon advantage: Time-phased DRP focused on inventory positioning gives you:
- Precision replenishment. Synchronize inventory with actual demand patterns, including promotional and event spikes. Combined with safety-stock optimization, time-phased DRP ensures the right inventory is available at DCs and retail locations just before and during promotional periods, minimizing both stockouts (lost sales) and excess inventory (waste and markdowns). This precision directly supports retailer fill-rate contracts and improves on-shelf availability during critical sales windows.
- Optimized network allocation. Multi-echelon balancing dynamically distributes inventory across plants, DCs, and channels based on real-time demand signals and service targets, eliminating redundant safety stock and reducing carrying costs throughout the network.
- Agile response capability. Daily and weekly planning cadences powered by real-time data enable rapid response to promotion performance changes, demand volatility, or supply disruptions, maintaining service levels while supporting strong retailer relationships, minimizing expedited shipments, and maximizing promotional ROI.
2.5 Distribution Planning
CPG distribution must meet retailer service level agreements (SLAs) and respond to promotional surges while minimizing logistics costs.
The New Horizon advantage: Transport-aware DRP tuned to delivery lead times, cost trade-offs, and service goals ensures:
- Accurate replenishment timing. Sync replenishment schedules with actual delivery timing, preventing stockouts and overstocks caused by timing assumptions. Ensure retailer SLAs are met and prevent stockouts during critical promotional periods.
- Optimized logistics costs. Incorporating transport cost trade-offs lets you optimize shipment size, mode, and frequency to balance freight expenses against inventory carrying costs. For example, consolidating shipments to full truckloads may increase lead time but significantly reduce per-unit logistics costs.
- Enhanced agility and responsiveness. Integrating transport realities prevents bottlenecks and transit delays. It minimizes expedited shipments and premium logistics charges while enabling smoother promotional execution and sustaining retailer satisfaction during demand fluctuations.
| “New Horizon has given us the visibility and control we need across a complex, global supply chain. We’re now making smarter decisions faster, with a single source of truth.” – Head of Planning, Global Consumer Products Manufacturer |
Core Capability #3 — Production Planning
The CPG industry requires robust finite-capacity scheduling and recipe and bill of materials management.
3.1 Finite Capacity Scheduling
Frequent SKU changeovers and packaging variations make optimized sequencing critical for CPG efficiency.
The New Horizon advantage: Production sequencing optimized by changeover time, capacity constraints, and production runs translates to:
- Optimized production sequencing. Finite capacity scheduling groups similar SKUs and packaging formats to minimize changeover times and setup waste, increasing equipment effectiveness and throughput without additional capital investment while reducing production costs per unit.
- Capacity-aligned commitments. Capable-to-promise functionality enables delivery commitments based on actual plant capacity and constraints rather than just available inventory, improving on-time, in-full (OTIF) performance and reducing expedites, priority changes, and queue delays. This allows you to deliver higher service levels, directly supporting profitability during crucial promotional periods.
- Dynamic responsiveness. Real-time monitoring and rescheduling capabilities enable rapid response to demand shifts, supply disruptions, and promotions by resequencing production runs to align with current constraints and priorities. Minimize inventory build-up and shortages during seasonal or promotional peaks. Optimize production efficiency despite complex changeover challenges, and maintain agility in responding to changing market conditions.
3.2 Recipe and Bill of Materials (BOM) Management
CPG companies need support for standardized formulations where recipes are fixed but volumes must be scaled operationally as demand fluctuates.
The New Horizon advantage: Standard recipe and BOM management integrated with ERP for stable product formulations ensures you have:
- Consistent quality. Integrating standard recipe and BOM management with ERP systems ensures consistent product quality and stable formulations despite fluctuating production volumes.
- Clear audit trail. Enable centralized control and traceability of formulations; and support compliance and faster recipe updates while minimizing costly errors or deviations during production.
- Optimal efficiency. New Horizon’s integrated system improves production efficiency and reduces waste by accurately scaling ingredient usage and automating batch calculations aligned to volume changes, boosting operational agility.
Core Capability #4 — S&OP / IBP and Scenario Planning
Modern CPG organizations need a sales and operations (S&OP) process to align commercial, product, finance, and operations teams around a common plan and ensure they meet organizational goals.
4.1 S&OP / IBP (Integrated Business Planning) and Scenario Modeling
S&OP enables CPG companies to monitor performance, identify gaps, and simulate alternate plans to close them.
The New Horizon advantage: Cross-functional simulations of demand, supply, and financial outcomes for consensus planning provide:
- Improved collaboration. Cross-functional simulations align demand, supply, and financial plans on a single platform, improving collaboration and consensus by exposing trade-offs and risks before execution.
- Faster, smarter decision-making. Model “what-if” scenarios to anticipate disruptions, capacity constraints, and cost impacts, protecting margins and service levels.
- Increased visibility. Improve visibility and agility across functions with integrated scenario modeling. Cut planning cycle times and prioritize resources, improving end-to-end reliability and financial outcomes.
4.2 Capacity and Material Feasibility
CPG planners must run weekly feasibility checks to confirm packaging and supplier readiness for promotion-driven demand.
The New Horizon advantage: Checking the feasibility of production and supplier constraints within planning scenarios gives you:
- Improved responsiveness. Regular feasibility checks within S&OP/IBP scenario modeling ensure packaging and supplier constraints are validated in advance, preventing costly last-minute shortages or delays during promotion-driven demand spikes.
- Better service. Confirming supplier readiness and production capacity early allows planners to reduce the risk of stockouts and excess inventory, improving on-shelf availability and customer service levels.
- Lower risk. Integrating these checks into planning scenarios enables proactive risk mitigation and faster decision-making, allowing you to adjust sourcing, production, or promotional plans before execution, protecting margins and service commitments.
Core Capability #5 — Data Integration and Connectivity
A unified data repository, connectors to Circana/NielsenIQ, and integration with ERP and trading partner systems deliver a single source of truth for CPG supply chains.
5.1 Internal and Multi-Enterprise Integration
CPG companies need internal integrations and multi-enterprise connectivity that links brand owners with their trading partners (suppliers, co-manufacturers, 3PLs, distributors, and retailers) for end-to-end coordination.
The New Horizon advantage: ERP integration for orders, inventory, and BOMs, along with trading partner visibility result in:
- Real-time, unified visibility. See up-to-date and synchronized orders, inventory levels, and BOMs, enabling accurate production planning and reducing stockouts or excess inventory.
- Enhanced trading partner collaboration. Get transparent, current information across all trading partners, improving coordination and responsiveness.
- End-to-end supply chain alignment. Multi-enterprise connectivity supports accelerated decision-making, optimized logistics, and on-time delivery of products to market.
Core Capability #6 — Analytics and Reporting
Modern CPG planning requires real-time dashboards measuring service levels, inventory position, supplier performance, and other KPIs.
6.1 Service Level / OTIF Tracking
Retailers demand that CPG companies meet specific service level KPIs such as OTIF or case fill rate. CPG performance dashboards must thus monitor such KPIs and provide drill-down root-cause analysis.
The New Horizon advantage: Dashboards linked to demand and supply drivers provide:
- Accurate root cause analysis. OTIF, fill-rate, and forecast-accuracy dashboards linked to demand and supply drivers allow you to pinpoint root causes of delivery failures, enabling focused improvements that reduce costly retailer penalties.
- Better transparency and responsiveness. Continuously track performance metrics aligned with real-time demand signals. Maintain high service levels and avoid stockouts or overstock situations.
- Optimized inventory management. Connect performance to causal factors and improve forecast accuracy and inventory management. Boost on-shelf availability and strengthen retailer relationships critical to sustaining revenue growth.
6.2 Inventory Reporting
Fast SKU turnover and promotions require continuous monitoring for stockouts or overstocks.
The New Horizon advantage: Tracking inventory as well as service-vs-cost trade-offs means:
- Proactive excess stock identification. Analytics dashboards enable you to proactively identify and reduce excess stock, minimizing carrying costs and spoilage.
- Optimal service-vs-cost trade-offs. Balance inventory investment against service levels, preventing costly stockouts while avoiding excess working capital.
- Enhanced agility. Continuous inventory control linked to real-time demand and supply signals improves your ability to manage promotions and rationalize SKUs, boosting cash flow and responsiveness.
6.3 Procurement and Trading Partner KPIs
Co-manufacturer and supplier KPIs directly impact CPG service levels and promotional readiness.
The New Horizon advantage: Trading partner performance and reliability metrics integrated into procurement dashboards provide:
- Proactive collaboration. Quickly identify and address issues with partners, directly improving service levels and promotional readiness.
- Real-time visibility. Always-current partner KPIs prevent disruptions and ensure consistent product availability for key retail promotions.
- Risk mitigation. Dashboards foster proactive collaboration and risk mitigation, allowing procurement teams to improve supplier relationships, streamline dispute resolution, and maintain agility in fast-changing CPG environments.
New Horizon for Modern, AI-Driven CPG Planning
Unprecedented planning complexity in CPG — driven by SKU and channel proliferation, shorter product lifecycles, and more demanding retailers and consumers — means that legacy ERP systems and spreadsheets are no longer sufficient to handle your supply chain planning.
New Horizon’s AI-powered SCP suite delivers deep functionality in each of the six core planning areas — from demand and supply planning to data integration and analytics — to empower you to stay competitive on service levels and cost.
To Learn More
Achieve faster, smarter, and more coordinated decisions, with New Horizon software, and translate AI insights into measurable gains in forecast accuracy, inventory levels, and service levels. Talk to one of our experts today.