Flagship

We get spooked ??? when we see brands stocked out of best sellers because we know the implications are brutal: ?? Marketing dollars wasted, driving customers toward a poor experience. ?? Customer complaints – they hate being ghosted by their favorite products. ?? Inventory piling up in the wrong places (sizes, colors), leading to markdowns and costly warehouse bills. Flagship was built to keep stock-outs at bay. Ready to solve your inventory nightmares? Get in touch ?? #Retail #Inventory #MachineLearning #Forecasting

A lot has been written about how a brand's revenue growth impacts its valuation, but the role inventory position plays is still opaque. At Flagship, we are working on a white paper that dives into the real impact inventory has on a brand's fundraising valuation. We'll be covering everything from hard data to case studies, along with actionable insights that brands can leverage to strengthen their positions. If you’re a consumer investor, banker, founder, or CFO and would like to weigh in, shoot us a message ??

Join Our Engineering Team at Flagship! At Flagship, we are transforming the retail industry by addressing its most critical challenges: inventory stock-outs and overstock. These issues cost brands millions annually and are often managed with outdated Excel spreadsheets. Our mission is to provide a cutting-edge, data-driven SaaS solution that enhances forecasting, purchasing, and promotes more sustainable shipping and ordering practices. We are a dynamic team of engineers and data scientists dedicated to scaling our innovative platform. We are currently seeking a talented front-end focused engineer with expertise in React (Next.js), TypeScript, and Tailwind. If you excel in fast-paced environments and have a passion for developing sophisticated web applications, we want to hear from you. If you are interested, know of something amazing looking for their next opportunity, or want to know more about our tech stack send me a DM or apply here: https://lnkd.in/g9fbdmzK

Great week at The Lead. So impressed by how Noah Gellman has scaled this grassroots NYC retail event, which truly unites both the established and emerging brands, tech solutions, and media players. Highlights: -Flagship's feature in the Sourcing Journal and WWD AI Report ??? (Cc: Cody Vidinich (Public Rec) Adam Goldston Ryan Goldston (APL (Athletic Propulsion Labs) -Inspiring dinners with Jacob Rokeach, Brandon Mitchel, Ovadia Labaton, Justin Allen, Scott Geftman, Aman Advani, Connor Wilson, Andrew Goble Andrew Clarke, Gabrielle Curione Wallace, Aaron Bellack. Thank you RetailNext for hosting night two! -Top Talks: Melanie Travis from Andie Swim on navigating Inventory and Omni-Channel. Scott Friend on trends in Retail Tech. -Spontaneous connections made while walking the floor with Brandon Mitchel and Jacob Rokeach #conferencecrew Looking forward to the next one. #RetailTech #Inventory #ECommerce #TheLead

Inventory planning is not about guesswork or crystal balls ??. It's about making the best bets with the information and tools at hand ? We often hear horror stories from planners who have used traditional inventory tools in their past lives. The top three dangers ?: 1. Demand Overestimation or Underestimation: This ends up severely impacting cash flow and profitability. 2. Lack of Flexibility: Systems alone, without human inputs, may not respond appropriately to unexpected events (e.g. when a marketing campaign takes off). 3. Lack of Transparency: Blackbox forecasting tools make it impossible to understand where the forecast went wrong, making it hard to adjust strategies and optimize for the future. Flagship's approach is rooted in statistics ?? . The goal is to make more good decisions than bad ones, and just like a stock portfolio, you will have some winners and losers. It's about maximizing gains with efficiency, minimizing losses, and surfacing the trends and data needed to make informed decisions without spending endless hours and resources ?? . The platform is designed to enhance human decision-making, ensuring flexibility and transparency. If you're facing inventory challenges, send a DM. Let's chat. ?? #InventoryPlanning #DataScience #RetailStrategy #Flagship

A topic that keeps popping up in my mid-year conversations with brands and fulfillment providers: Forecasting This has been a consistent pain point for the fulfillment provider. They are not being provided with consistent forecasts, don't get advance notice regarding planned sales events, and struggle to properly plan labor and achieve service levels because of it. From the brand side, they are struggling to develop accurate forecasts to share with their partner(s). When they do, there's often a gap in effectively relaying this information to the fulfillment partner. The impact to the fulfillment partner? They end up carrying too much labor to ensure service, driving up their labor spend and eroding margins. Or they run lean to save on labor and end up missing service targets, negatively impacting the brand and putting a strain on their relationship. Neither are good options. For the brand, the inability to accurately forecast demand impacts sourcing and ultimately in-stock, lost sales, increased costs from their fulfillment provider because they need to carry more labor, etc. The good news is that brands are investing in technology to drive improved forecast accuracy while building internal control towers to improve end-to-end visibility, provide centralized data solutions and improving collaboration with their fulfillment providers. Meanwhile, fulfillment providers are better utilizing historical data to generate baseline demand and building labor plans around this and leveraging AMs to improve communication with the brand. I've been helping both sides build out effective strategies to manage through these challenges with a focus on improving communication and collaboration. I talk a lot about simplifying things in operations and this is a prime example of that. There's little value in the data if you're not able to effectively communicate it. Focus on getting it into the hands of those who rely on it to makes decisions and run your operations and let the magic happen. #forecasting #3PL #distribution #fulfillment