Lokad ads

Demand will probably be 48 units. So why buy 65? "Most likely to sell" and "most profitable to buy" are different things. This 60-second animation shows how Lokad weighs each additional unit: its chance of selling, the margin it could earn, and the cost of being stuck with it. Want to see it on real purchase orders? Join Conor Doherty and Fabian Hoehner for a free live demo. 📅 Thu, Nov 19 · 16:30 CET / 10:30 EST · Live online

Private paper jets have at least 5 parts (wing, fuselage, fin, nose, and cockpit). Optimizing purchasing decisions for private paper jets is easy. Excel is fine for this task. Supporting a commercial fleet means managing thousands of P/Ns. Optimizing purchasing for that fleet is very difficult. This is where Lokad steps in. The financial puzzle is this: When thousands of aircraft parts compete for the same budget, which ones should you invest in, and in what quantities? ✈️ Aerospace Purchasing Optimized | Live Demo: https://lnkd.in/ed4jNbVa On October 1st, Fabian Hoehner and I will publicly demonstrate how Lokad answers those questions at scale. Using an aerospace demo account, we will show you concrete investment and divestment recommendations: which parts to buy or sell, in what quantities, and why some investments make more economic sense than others. Join us October 1st, at 16h30 (Paris time).

✈️ How do you decide which rotables, consumables, and expendables to invest in when thousands of parts compete for the same budget? Join us Oct 1 at 16:30 CEST / 10:30 EDT for a live aerospace purchasing demo with Fabian Hoehner and Conor E. Doherty. See how Lokad prioritizes investment/divestment decisions across P/Ns using uncertain demand, probabilistic TATs, variable costs, availability risks, and operational constraints. We’ll also cover required data, implementation, and live Q&A. For aerospace supply chain, procurement, inventory, materials planning, and MRO professionals.

“We improved forecast accuracy. Why are we still firefighting?” Well, did you also improve the quality of your decisions? The tension between the forecast and the decision is what my new article explores. TL;DR: Forecasts matter. But forecast accuracy is often treated as the finish line, even though the business still has to decide what to buy, where to place stock, which orders to prioritise, and which risks to accept. For example: a forecast of 40 units and a forecast of 50 units may look meaningfully different. But if the MOQ is 100, the available decisions may still be exactly the same: order nothing or order 100. Check out the article for both practical and technical explanations of this point (in ~3 mins)! If this topic is relevant to your work, I’ll be discussing it live on LinkedIn with Joannes Vermorel on July 23rd: https://lnkd.in/esKBUJaX Come along and share your stories. For now, enjoy the article 😉

Tired of urgent POs, stockouts, and excess inventory? Purchasing is not just placing orders. It is deciding how much stock, risk, and cash the business should carry. Lokad models future demand, lead-time uncertainty, stock positions, supplier constraints, and financial trade-offs together. The goal is not just to buy “enough,” but to identify the purchasing decisions that create the best economic outcome. Most systems treat purchasing as a replenishment exercise: forecast demand, apply rules, then leave planners to override the exceptions manually. Lokad optimizes purchasing decisions instead of creating more planning busywork.

Inventory is a portfolio: every SKU is a position, every order is a bet on future demand. See how Lokad optimizes purchasing decisions and manages risk.