Commerce and planning tools
Show what customers are buying and what the business expects to sell.
AI-enabled demand planning and supply-chain decision platform
DropSkip connects demand, sales, inventory, purchasing, and fulfillment data into a single workflow, then shows operators the priority, the rationale, and the recommended action.
The missing layer
Show what customers are buying and what the business expects to sell.
Show what is available, committed, incoming, and where it sits.
Record movement, purchasing, fulfilment, and operational execution.
Capabilities
Each capability uses the same connected operating context, so changes in one plan carry into the decisions that follow.
See sales, demand signals, seasonality, inventory health, and incoming stock in one connected view.
Understand exceptions, root causes, wins, misses, risks, and opportunities behind your inventory position.
Align product and inventory plans with expected market demand and your business goals.
Simulate future inventory positions by product, channel, and location as demand and supply conditions change.
Decide what to buy, how much, when, and where while protecting growth, cash, and margin.
See what needs attention now, what’s changing, and what requires action before it impacts the business.
Product in action
The evidence, recommendation, and operator controls stay together in one focused decision view.
Recommendation
Demand is above the operating plan while current coverage is shorter than the supplier lead time. The proposed action fits the current purchasing plan.
Works with your existing systems
Your current systems keep recording transactions and running operations. DropSkip connects their data into real-time, end-to-end visibility, then turns the insights into prioritized recommendations for what to do next.
Implementation
Agree the value outcome first, then connect only the data and workflow needed to support it.
Frequently asked questions
Clear answers about how DropSkip fits, how AI supports the workflow, and what implementation involves.
Your existing systems keep recording transactions and running operations. DropSkip pulls data from all of them and connects the signals into one real-time view and insights for your supply chain. It then turns insights into prioritized recommendations, so you know which action to take next.
DropSkip connects operating signals from Shopify, NetSuite, other ERP environments, WMS or 3PL systems, spreadsheets, Open API and EDI-based sources. The connection approach is agreed during implementation based on your technology stack and data structure.
Typical planning tools rely on historical data and averages to produce static plans, forecasts, and reports. DropSkip goes further. It combines historical seasonality and sales health with market insights, demand catalysts, and supplier constraints, then forecasts demand and stock positions and recommends the critical next moves.
Your operations team does. Every DropSkip recommendation comes with its evidence and reasoning. Your team can adjust assumptions, simulate and compare the potential operational and financial outcomes, and act on the option that delivers the best result.
AI connects and interprets your operating signals, flags material changes, and explains the root causes. It then shows how those changes affect your supply chain, financial health, customer experience, and growth, now and in the future, and surfaces recommendations. The evidence and reasoning stay visible, and your operations team keeps the final decision.
Implementation starts with the specific decisions you want to improve and the success metrics you'll measure them by. From there, we connect your data sources, map your data, configure assumptions, train our models and agents, and validate results with your operations team before rolling DropSkip out into your daily workflow.
There's no rip-and-replace and no/low IT effort on your side. Expect first insights within the first week and measurable results within 30-60 days.
Bring one decision to the demo
We’ll map the relevant inputs, show how the recommendation is assembled, and identify where DropSkip can create measurable operating value.
Or email contact@dropskip.ai