Forecast demand by store and channel, catch a swing while there's still time to react, and keep stock where it sells, online and in store.
Start with the problem that costs your stores most. Every solution runs on the same ERP data, so adding the next one isn’t a new project. Each starts from a ready-made blueprint, and most teams start with one, then add the rest on the same ERP data.
Orders and sell-through are read daily, so a real shift reaches the plan in days and a one-off doesn't move it.
Every SKU is projected forward by store and DC, so a stockout shows up while there's still time to replenish.
Forecast demand for stores and eCommerce together, with the reason behind every revision.
Stock sitting idle in one store is moved to where it sells before anyone marks it down.
Slow and dead stock are shown in dollars, so markdown and transfer decisions happen before the season ends.
When freight or product costs move, every price is checked against the new cost before margin is lost.
Stock projected by store and channel, so the stockout shows up weeks ahead.
Read from Acumatica, Sage, NetSuite, Dynamics, and 150+ other systems into Digital Cube. No exports.
Ask Athena IQ, or Claude or ChatGPT over MCP. Answers come from the same data, with the reasoning shown.
Our Demand Sensing Agent flags demand shifts by store and channel every day. You approve the transfer or reorder in Decision Hub, and it writes back to your ERP.
“The recommended purchase order storyboard is what we build our purchases around now. It’s not a report we glance at, it’s how we make the call, every single day.”
“AI-driven purchase recommendations and real-time demand forecasting replaced outdated, static reports – aligning production and purchasing with actual demand across the supply chain.”
“It’s not just about doing the same work faster — it’s about increasing our entire effectiveness. With ConverSight, we can instantly get answers from our data instead of spending hours running SQL queries.”
Supply chain management in the retail industry keeps the right stock in every store and channel: forecasting demand, replenishing from DCs, moving stock between locations, and clearing slow movers before markdowns. ConverSight runs this on the ERP, POS, and eCommerce data you already have, and flags stockouts and excess weeks ahead.
Yes. Demand and stock are planned by store, DC, and channel on one model, so online and in-store demand don’t compete for the same stock blindly.
It spots shifts earlier than a weekly report can. ConverSight reads sales by store and channel every day, projects each SKU forward, flags stockouts and slow movers before they cost you, and explains each recommendation in plain language so planners can approve the fix quickly.
Yes. POS, eCommerce, and ERP data are connected through more than 150 connectors.
Acumatica, Fishbowl, Sage, SAP, NetSuite, Microsoft Dynamics, and Katana, among more than 150 connectors.
Most teams have their first solution live in under two weeks, because the connectors and the supply chain model are prebuilt.
Sectors with their own planning problems, on the same core.
Flag tier-supplier delays before parts run short on the line.
Plan promotions and channel demand without overstocking slow movers.
Plan long-lead components and spare parts across every site.
