One intelligence layer across Oracle, Blue Yonder, Epicor, and legacy systems. Real-time risk. Predictive inventory. AI-powered decisions.
Most distributors are losing ground on all three fronts simultaneously — and doing it with the same spreadsheet-dependent processes they used five years ago.
More data than ever. Fewer decisions made with it. No tool connects a Chilean labour dispute + copper at $4.50/lb + a storm toward the Panama Canal to the pricing squeeze arriving at your dock in 45 days. You find out when it's already too late.
Forecasts built in spreadsheets, updated monthly, wrong by the time they're distributed. Gap-to-close planning lives in whoever's head remembers to do it. Reps don't know a similar account two regions over is buying a product line they've never pitched.
410,000 inventory positions. Aged stock grows silently. Clawbacks expire without follow-up. Supplier quality deteriorates gradually. The data exists in the ERP — nobody synthesizes it into a forward view until the quarter's already over.
From executive intelligence to procurement workflows, SaaSquach gives your team a single source of truth that actually explains itself.
AI-Powered Executive Layer
Inventory & Procurement Dashboard
LOA Approval Engine
Scenario Simulation Engine
Forecast Intelligence Platform
AI Gap-to-Close Agent
Three specialized modules extend Canopy with predictive analytics, supplier risk scoring, and margin protection.
Forward-looking demand modeling and stockout prediction. Ranger sees what your reorder points miss.
Supplier tier classification, OTDS tracking, risk scoring, and claims management in one view.
Commission clawbacks, returns processing, and margin protection. Every dollar accounted for.
Every LOA request routes through multi-stage approval with real-time risk scores at every gate. Sales, Finance, Supplier Relations, and Inventory each get the visibility they need — without the bottleneck.
When an approval stalls, Cascades doesn't wait. Automatic escalation ensures no deal dies in someone's inbox.
Foresight deploys 200 autonomous AI personas running in parallel against your live ERP data and 23 external data sources — returning quantified financial impact with specific recommended actions. No consultant required. No spreadsheet. No manual research.
200 specialized AI personas running simultaneously. Each expert in a different risk domain — tariff exposure, commodity sensitivity, supplier stress, demand volatility, logistics disruption. Their outputs converge into a single unified scenario tailored to your business — in 45 seconds.
Upload your supplier contracts, tariff schedules, inventory policies, or historical incident reports. Foresight ingests them instantly and grounds every scenario in your actual business context — not generic benchmarks.
No pre-built scenario templates to fill in. Ask in plain language: "What happens to our margin if tariffs on Chinese wire go up 25% and our top supplier can't fulfill?" Foresight figures out the rest.
Purpose-built connectors for the ERP systems that power distribution. No rip-and-replace. No middleware patchwork.
Native read/write integration with Oracle's full ERP suite. Financials, procurement, inventory, and order management.
Deep planning and replenishment integration. Demand sensing, inventory optimization, and fulfillment orchestration.
Built for electrical, plumbing, and HVAC distributors running Eclipse. Branch-level data at full fidelity.
Bridging decades of legacy infrastructure to modern intelligence. No rewrite required.
Warden is an AI compliance agent built into Canopy that continuously monitors every SOX control against every transaction — in real time. Not quarterly. Not sampled. Every single one.
When your external auditor arrives, they get a pre-built evidence package covering 100% of your transaction population. Audit scope drops 30–50%. Protiviti goes home early.
Start with a single environment and scale as your intelligence layer expands. Every tier includes implementation support.
One platform. Every signal. Every decision explained.
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The future of supply chain intelligence is already here — it's just not evenly distributed.