Each stage of the planning cycle runs on a tool built for it. The analysis runs continuously and the planner spends the time on the decisions.
A demand forecast by product, channel, and location, tuned to seasonality, promotions, and underlying trend. The planner reviews it and adjusts where they know something the numbers do not.
See it →Every SKU classified by value and volatility, with safety stock and reorder points sized to the risk each item actually carries. The fast movers stay covered and the slow ones stop tying up cash.
See it →What to order, how much, and when, sequenced across locations and supplier lead times. The planner approves the suggested orders, and the excess works its way down over time.
See it →Continuous monitoring that surfaces the few items needing a decision, ranked by urgency, with the suggested action next to each one. The stock-out risks and the excess both show up early, while there is still time to act.
See it →The weekly operations report and the leadership summary, assembled from the numbers a planner already works with, with a first draft of the narrative written for review. What used to take an afternoon is drafted for the planner to review.
See it →Side-by-side scenarios that show the trade-offs across demand, stock, and spend. Test a change against the base case and see what it costs before you commit to the order.
See it →DLX AI does more than run the numbers. It turns the data a planner works with into reporting and dashboards the team can act on, with the read on what the numbers mean written in.
AI carries the volume; the judgment stays human. Every tool is built to support a planner staying in the loop.
Models run on your own numbers and your own workflow, so the output reflects how your business actually operates, rather than a generic benchmark.
How the system is configured, what it runs on and what your team permits, is defined with you in the diagnostic, in your environment and on your terms.
Start with a Demand Diagnostic and see the return mapped against your own data, before any commitment.
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