ToolPlex connects to the systems your stores already run — POS, ERP, replenishment, and marketplaces — and turns them into store-level demand forecasts, replenishment agents, and reconciliation your buyers can act on every week.
An 8-week moving average can’t see a holiday, a payday, or a weather swing coming. It lags every real shift in demand by weeks.
Lost sales never hit a report. The shelf was empty, the demand was real, and nothing logged it — so it repeats next week.
POS, ERP, replenishment, and e-commerce each tell a slightly different story, and reconciling them is a manual, monthly slog.
No sales history means no forecast — right when the raw-material and shelf-space decisions matter most.
No rip-and-replace. ToolPlex builds custom tools that connect AI directly to your existing systems — reading your data where it lives, behind your firewall.
For every store and SKU, several weeks out, with safety-stock buffers built in — trained and validated on your own sales history, not a generic benchmark.
We forecast items with no sales history — in time for the buy — using product attributes and your seasonal calendar.
The system flags what’s about to stock out or over-order, ranks it by impact, and can draft the order for a buyer to approve.
Consolidate POS, ERP, and distributor files into one number you can trust — with every difference named, not hand-waved.
Buyers, planners, and store ops each get their own view, plus a chat agent that answers in plain language and always cites its source.
We clean, connect, and organize your data — the unglamorous groundwork that makes everything above dependable.
Every capability is a module on one platform. Begin where the pain is sharpest — reconcile your data, forecast demand, or put an agent on your operations — and add the rest when you’re ready. Same data, same runtime, no re-platforming.
Many teams start with data reconciliation, then graduate to demand forecasting — others put agents on operations, or stay with data agents alone. Your path, your pace.
ToolPlex isn’t static software. Every interaction makes it sharper — it learns your data, your vocabulary, and your workflows, and compounds that advantage the longer you run.
The way it works with your data — and the answers your team gets — keep improving the longer you run.
It retains context, corrections, and institutional knowledge across sessions — so it stops re-asking and starts anticipating.
Each person sees exactly the data, and gets exactly the capabilities, their role allows — nothing more.
The system you have a year in is materially sharper than the one you started with. That gap becomes your moat.
Enterprise buyers ask about data privacy first, so we built for it. Every engagement runs single-tenant and in your data-residency region — never pooled with another client, never used to train models. We connect to your live systems rather than exporting your data wholesale, and for the strictest requirements everything can run on your own infrastructure, with ToolPlex only tunneling in.
Every client runs in its own dedicated, hardened runtime — never shared with, pooled across, or reachable by anyone else.
Deployments stay within your data-residency region on isolated, per-client infrastructure — no cross-region movement.
We connect to your live systems rather than shipping your data out wholesale — and your data is never used to train models, yours or anyone else’s.
For the strictest requirements, everything — data, dashboards, even chat history — stays on your own servers, with ToolPlex reaching in only through a secure tunnel. Then nothing leaves your walls.
A 30-minute call, a look at your systems, and a scoped 60-day POC measured against how you run today.