Best Demand Planning Software - Page 10

Carbon6

Carbon6 helps brands recover lost revenue, scale advertising and streamline operations without the manual lift. Designed for both suppliers and sellers on Amazon and Walmart, Carbon6 combines automation, expert support and retailer-specific insights to drive smarter growth across the supply chain. Our Revenue Recovery solution finds, disputes, and recovers lost revenue for Amazon vendors and Walmart suppliers, covering chargebacks, shortages, pricing errors, and more. For Amazon third-party sellers, Seller Investigators identifies and files claims across eight categories that are not auto-reimbursed by Amazon. Beyond recovery, Carbon6 helps brands grow with PixelMe, an external traffic solution that drives high-intent shoppers from Google and Meta directly to Amazon listings. DSP Prime, our fully managed Amazon DSP service, provides full-funnel reach with expert-led strategy and rapid campaign launches. Finally, SoStocked gives sellers an edge in inventory and profit forecasting, helping them avoid stockouts and overstocks, reduce fees, and optimize cash flow.

Average Rating: 4.0/5.0

Total Reviews: 1

Cash Flow Inventory

Cash Flow Inventory is an online inventory management software platform to manage, track, and control inventory operations. Optimized inventory levels by preventing overstocks, and stockouts. Ensuring the proper inventory levels based on demands maximizes profits with minimal capital. Why use Cash Flow Inventory(Top Three Points): 1. Control cash flows due to inventory operations with landed cost. 2. Automatic forecasting allows you to generate one-click purchase orders based on demands. 3. Control users with custom user permissions.

Cashmere Food & Beverage ERP

Cashmere is an inventory andorder management software. It is a purchasing software, combined with powerful artificial intelligence (AI) data driven analytics.

Cinareo

Contact center planning teams are under more pressure than ever to justify staffing and budget decisions quickly — and get them right. When volumes shift, shrinkage assumptions drift, or leadership asks "what happens if we reduce headcount by 10%?" — finding a defensible answer takes time most teams don't have. Cinareo is a capacity planning and decision-support platform built specifically for omni-channel contact centers. It sits in the planning layer above WFM execution — handling the decisions that happen before scheduling begins: multi-year capacity scenarios, budget modeling, multi-skilling analysis, recruitment planning, and operational impact assessment. Cinareo complements the WFM platforms teams already run. It is available on the Genesys AppFoundry for Genesys Cloud customers, and is an integration partner with Aspect. Both partnerships connect Cinareo's long-range capacity planning with real-time scheduling and intraday execution — so organizations can plan with confidence, staff accurately, and adapt as demand changes. FEATURES 1. [Short- to Long-Range Capacity Planning] Plan from one week to 3 years out across multi-skilled contact center and back-office environments. A guided, wizard-based interface walks planners through each step — making it accessible regardless of experience level. Covers the full range of interaction channels: inbound and outbound calls, chat, email, SMS, social media, and in-person. 2. [What-If Scenario Modeling] Test the downstream impact of assumption changes — shrinkage shifts, attrition, volume swings, hiring delays — across staffing, service levels, cost, and capacity. See operational consequences before decisions are finalized, and present defensible recommendations to leadership. 3. [Multi-Skilling Planning] Calculate the optimal mix of single- and multi-skilled agents across queues. Group queues, run simulations down to 15-minute intervals, and compare single-skilling vs. multi-skilling scenarios to identify staffing differences and training costs — before committing to a workforce design. 4. [Budget and Financial Planning] Build detailed budgets covering agent and support staff costs, overtime, and hiring ahead of attrition. Run financial scenarios to understand how changes in staffing assumptions affect budget outcomes. Generate reports on financial performance and future projections to give operations and finance leadership a shared, defensible view of cost impact. 5. [Recruitment and Training Planning] Determine how many to hire, by when, and for which queue or skill. Plan hiring ahead of attrition to keep staffing levels stable as turnover occurs. Factor in trainer-to-trainee ratios and classroom availability to ensure training capacity keeps pace with hiring plans. 6. [Support Staff Planning] Calculate the right number of support staff relative to agents — including supervisors, QA analysts, trainers, and back-office roles — based on operational requirements. Move beyond headcount assumptions to planned ratios grounded in real workload. 7. [Multi-Location Optimization] Network-level planning averages mask differences between sites. Plans that appear viable in aggregate often do not hold at the site level. Multi-Location Optimization brings allocation, capacity, and planning decisions into a single view — so contact centers operating across multiple locations can allocate work across sites, validate against real capacity, and defend decisions with location-specific data.

Average Rating: 4.5/5.0

Total Reviews: 1

ClearOps

ClearOps is an AI-powered after sales service platform designed for machinery OEMs and dealer networks to optimize spare parts planning, technician scheduling, and equipment uptime. By leveraging advanced artificial intelligence, ClearOps helps manufacturers and service teams reduce downtime, improve service performance, and increase after-sales revenue. The platform connects OEMs, dealers, and machines within a single enterprise-grade ecosystem, transforming fragmented service and parts data into actionable insights. With ClearOps, companies can forecast spare parts demand more accurately, streamline technician availability, and enhance field service operations. Key capabilities include predictive spare parts planning, AI-driven demand forecasting, service scheduling optimization, and real-time analytics. These features enable organizations to boost parts sales, maximize equipment uptime, improve operational efficiency, and strengthen customer loyalty. ClearOps is built for industrial manufacturers, heavy equipment companies, and dealer networks looking to modernize their after-sales operations with data-driven decision-making and scalable AI technology.

Cogsy

Cogsy is an operations platform designed to help direct-to-consumer brands streamline inventory management and optimize supply chain operations. By automating tasks such as demand forecasting, purchase order creation, and replenishment alerts, Cogsy enables brands to maintain optimal stock levels, reduce stockouts, and enhance overall operational efficiency. This comprehensive solution integrates seamlessly with platforms like Shopify and Amazon, providing real-time insights and actionable recommendations to support business growth. Key Features and Functionality: - Real-Time Inventory Management: Monitor stock levels, track in-transit inventory, and manage vendor information within a centralized system. - Automated Replenishment Alerts: Receive timely notifications when inventory is low, ensuring products are restocked at the perfect time. - Efficient Purchase Order Creation: Generate accurate, ready-to-submit purchase orders quickly, leveraging personalized restock recommendations. - Demand Planning and Forecasting: Utilize data-driven insights to predict future demand, plan for growth, and prepare for marketing events or new product launches. - Multi-Location Support: Ensure all warehouses are adequately stocked by managing inventory across multiple locations. - Vendor Management: Organize vendor contacts, lead times, and order histories to strengthen supplier relationships and streamline procurement processes. Primary Value and Problem Solved: Cogsy addresses the challenges DTC brands face in managing inventory and supply chain operations by automating and optimizing these processes. By providing real-time data and actionable insights, Cogsy helps brands prevent costly stockouts and overstocks, saving an average of 20 hours per week on inventory management tasks. This operational efficiency not only reduces manual workload but also contributes to revenue growth, with brands experiencing up to a 40% increase in revenue as a result of maintaining optimal inventory levels.

Colibri S&OP

The AI-powered solution for optimal forecasting and planning Many companies struggle with inaccurate forecasts, excess inventory, stockouts, and limited visibility across their supply chain. These challenges lead to lost revenue, inefficiencies, and slower decision-making. Colibri S&OP addresses these challenges with a cloud-native platform designed to make planning more accurate, collaborative, and agile. Key capabilities and business impact: - Demand forecasting powered by AI to improve accuracy and reduce uncertainty - Real-time inventory optimization to minimize stockouts and excess inventory - Supply and demand balancing to increase service levels and operational efficiency - Scenario planning (what-if analysis) to anticipate risks and make better decisions faster - Collaborative planning to align teams, eliminate silos, and improve accountability - Performance monitoring with dashboards and KPIs to drive continuous improvement - Cloud-based platform enabling fast deployment, scalability, and access anywhere Colibri stands out for its simplicity and fast adoption. The intuitive interface allows teams to move away from Excel without disruption, while built-in collaboration ensures everyone works from a single source of truth. With Colibri S&OP, companies gain better visibility, make faster and smarter decisions, and transform their supply chain into a true driver of performance and long-term revenue growth.

Continuum AI

Continuum AI by Theory+Practice helps retail and CPG brands make smarter, faster decisions at scale. By combining AI and Agentic capabilities with industry expertise, we optimize pricing, marketing, and supply chain to deliver rapid, measurable impact.

Control Tower

Control Tower Platform brings all internal and external stakeholders together on one platform, providing supply-chain-load-level visibility and order management. From initial order entry through disposition supplier reporting, you can now see all of your data from a single source. Seamlessly add new modules to your systems, such as a WMS and IMS that are proven to enhance efficiencies and drive supply chain-wide savings. Call 888-513-3404 or email info@firebend.com for more information.

Crateflow

Crateflow is a demand forecasting software built for mid-market manufacturers and distributors. Crateflow uses machine learning and AI technologies to predict demand for every SKU and location, highlight forecast risks, and recommend planning actions, so you improve service levels without inflating inventory. Crateflow basically does three things in a loop: understand what’s happening, predict what will happen, and tell you what to do about it, all at the SKU–location level, with humans still in control. Crateflow pulls together your key supply-chain data: historical orders and shipments, current inventory levels, lead times, promotions, and other operational signals. Then, AI models add external drivers such as commodity prices, inflation, and broader market trends, instead of relying only on past sales curves. This takes demand sensing and forecasts to a higher level and makes planning and decision making much easier and more confident in supply chain and inventory management.

DAP

DAP is a software designed both to forecast the demand and the peak load, and to prepare actions of Demand Side Management (DSM). DAP integrates four main methods: Simple Trend Forecast, Sector Trend Forecast, Customer Trend Forecast and DSM Forecast

Demand Forecasting

Our AI-supported forecasts help you to reduce stock shortages and overstocks so that sales losses are avoided. pacemaker.ai optimises and automates your forecasts using state-of-the-art machine learning algorithms. Our demand forecasting software provides you with highly accurate forecasts with over 90% accuracy in your desired system or as a .csv export. Our demand forecasting uses historical sales data, and factors from external influencing factors and predicts future demand so that you can make better data-based decisions along your supply chain and to forecast inventory, staffing requirements, and more. Our products can lead to over 30% more efficiency along the supply chain thanks to 1000+ external influencing factors in our DataHub. Benefit from fully automated, reliable forecasts and understand which factors have a lasting impact on your results. Create insightful what-if-analyses by calculating the effects of changes in influencing factors. Integrate upcoming events and promotions, such as discounts, seasons, promotional campaigns, or major events. Find out immediately about potential changes in your forecasts. Our Horizons module takes into account fluctuations in the supply chain. We can bring you to AI-powered in 6 weeks, starting with an initial consultation, moving to a data thinking workshop and then finally the onboarding.

Demand planing software

AI-powered demand forecasting and inventory optimization for fashion retailers brands. Achieve 91% forecast accuracy in 15 minutes.

DemandPlan IO

DemandPlan IO is a comprehensive demand planning and forecasting solution designed to help businesses optimize their inventory management and supply chain operations. By leveraging advanced analytics and machine learning algorithms, DemandPlan IO enables organizations to predict future demand accurately, reduce stockouts, and minimize excess inventory, leading to improved operational efficiency and increased profitability. Key Features and Functionality: - Advanced Forecasting Algorithms: Utilizes machine learning models to analyze historical data and predict future demand trends with high accuracy. - Inventory Optimization: Helps maintain optimal inventory levels by balancing supply and demand, reducing carrying costs, and preventing stockouts. - Scenario Planning: Allows users to create and evaluate multiple demand scenarios to prepare for various market conditions and make informed decisions. - Integration Capabilities: Seamlessly integrates with existing ERP and supply chain management systems for streamlined data flow and enhanced operational efficiency. - User-Friendly Interface: Features an intuitive dashboard that provides real-time insights and actionable recommendations for demand planning. Primary Value and Problem Solved: DemandPlan IO addresses the critical challenge of demand uncertainty that many businesses face. By providing accurate demand forecasts and inventory optimization tools, it enables companies to align their supply chain operations with actual market demand. This alignment reduces the risks of overstocking or stockouts, enhances customer satisfaction through improved product availability, and ultimately drives higher profitability by optimizing resource utilization.

Demand Planner

DemandPlanner is an AI-powered demand forecasting and supply planning platform built specifically for small and mid-size businesses. Most SME distributors manage replenishment with Excel spreadsheets or basic ERP modules that weren't designed for forecasting. The result: chronic stockouts on fast-moving SKUs, overstock on slow ones, and supply planners spending hours every week manually crunching numbers instead of making decisions. DemandPlanner solves this with enterprise-grade forecasting technology — at a price and complexity level that actually fits an SME.