Direct-to-home (DTC) fresh meat brands are full-stack operators; they manage the customer acquisition, delivery, and operate an integrated intensive cold supply chain. Every day, supply chain operators make thousands of decisions, and all these have to work in harmony across. It is hard. Let’s see why they have to automate.
Legacy systems and approaches that expect lots of manual hand-holding and effort, and require specialized dedicated IT resources etc. tie down your planners and lower your agility to respond to market events. Adaptive planning is the right opposite, it is autonomous.
The role of CPG planners currently revolves around demand plan creation and improving forecast accuracy. Some CPG companies have already arrived at the new shores – planners here focus strictly on achieving business KPIs through rapid inventory (re) deployment. What is the role of these next-gen planners?
Adaptive planning powered by AI and cloud computing can help MCG brands turn volatility and unpredictability into a sustainable competitive advantage. In the process, you will unshackle your data, unshackle your planners, and unleash your organizations’ full operations potential.
Coronavirus has unleashed a disruption never seen before – it has severed the flow of goods and people, stalled economies, and is in the process of delivering a global recession. Here are four capabilities delivered by Algoshelf, that help you build much-needed agility in these times.
The enterprise software has come a long way since Jason Fried wrote Why Enterprise Software Suck in 2007. It is 2020, and enterprise software continues to be inelegant and confusing to use. Enterprise software buyers have to focus on getting the Minimum Acceptable Feature (MAF) set in place, build more as use-cases emerge.