Demand Management/Forecasting

Demand management such as forecasting, customer analytics, demand generation, demand shaping, pricing, promotion, order management, etc.

Agile Demand-Supply Alignment – Part 3G: Solution Assessments

Here we assess Mercado’s supply chain network/platform for connecting retailers with suppliers, forwarders and brokers, carriers, and other service providers in the order-to-delivery process for imports. We also cover Zencargo’s solution for mid-sized retailers who are doing significant importing and seek control tower capabilities combined with freight forwarding services.

Agile Demand-Supply Alignment – Part 3F: Solution Assessments

This is our assessment of One Network, who has one of the most sophisticated/elegant architectures, providing a flexible and scalable multi-enterprise platform. We look at their intelligent control towers for autonomous supply chain management providing multi-tier, multiparty optimization, and automated planning and execution from inbound supply to outbound order fulfillment and logistics.

Agile Demand-Supply Alignment – Part 3D

An assessment of IBM Sterling’s Inventory Control Tower solution for global supply chains with critical inventory needs—especially healthcare providers, grocery retailers, and spare parts dealers. We also look at Elementum, provider of incident management for companies with large complex supply chains where many issues arise requiring multi-party collaboration.

Agile Demand – Supply Alignment – Part 3C: Solution Assessments

Here we assess E2open, the largest pure cloud supply chain solution provider. E2open has acquired many ADSA-relevant best-of-breed applications such as multi-tier supplier and outsourced manufacturing management, transportation and logistics, global trade management, demand sensing, S&OP/business planning, and multi-tier channel management.

Agile Demand-Supply Alignment (3-Part Series)

Findings from our research on Agile Demand-Supply Alignment (ADSA), the capability to effectively realign supply and demand, during execution, in the face of demand volatility and supply disruptions.

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