Tensor Analytics was founded to close the gap between spreadsheets and ERPs, not by adding another dashboard, but by building a connected operational data platform with ML forecasting, S&OP, automation, and AI agents that run the whole cycle through chat. Every action is human-approved. Every action is audited.
Find your workflow
Planning & inventory
GrepEye Supply Chain is demand planning software for manufacturers and distributors. It connects demand forecasting, inventory and supply planning, and sales and operations planning (S&OP) in one workflow. Teams review exceptions, approve a plan, and connect the agreed output to their ERP.
Demand planners, supply chain managers, inventory teams, and S&OP leads managing multiple products and stocking locations.
Invoice management
GrepEye Invo is an invoice management module with iOS and Android apps for staff and a web dashboard for finance. Staff collect invoice photos, finance reviews the extracted details and approvals, and approved entries reach Tally or a chosen ERP through a connection configured for the business.
Finance, procurement, and business owners collecting purchase bills across branches, warehouses, offices, and field locations.
Dealership intelligence
GrepEye DealerPulse is a mobile dealership management dashboard for automotive leaders. It brings sales, finance mix, receivables, inventory, people, and operations into one view across companies, regions, and outlets. Leaders can move from a group summary to the details behind a result on iOS and Android.
Dealer principals, directors, CFOs, general managers, and branch heads at single-outlet dealerships and dealer groups in India.
Demand is planned in spreadsheets. Sales and supply chain argue about whose forecast to use. Supply plans don't reflect the latest demand. Exceptions surface too late. The plan keeps changing after production has started. There's no audit trail for who changed what, and no single view of forecast, supply, and gaps.
ERPs don't fix this, they weren't built for planning. BI tools show what happened, not what to do next. Enterprise IBP suites cost millions and take years to deploy. The result is gut-feel buffers, rigid policy rules, and S&OP cycles that take days because each team is reconciling a different version of the truth.
Tensor Analytics was founded to close that gap, not by adding another dashboard, but by building GrepEye: a connected operational data platform with eight capability pillars (data, rules, analytics, IBP, AI agents, forms, access control, config packs). ML ensembles run the math. The S&OP console enforces the workflow. AI agents handle the routine work through chat. Every action is human-approved and audited.
These aren't marketing claims. They're the operating constraints we use when we build, sell, and support GrepEye.
GrepEye isn't a forecasting tool bolted onto a dashboard. It's one platform, datasets, rules, analytics, IBP, AI agents, forms, access control, and config packs, all sharing a single operational data model. No stitching. No sync. One source of truth.
The ML ensemble runs the math. The S&OP console enforces the workflow. AI agents handle the routine triage through chat. Planners review exceptions, apply overrides with rationale, and approve agent actions. The judgment is theirs. The busywork is automated.
AI agents can read any dataset, view, projection, or dashboard. They can propose forecasts, supply netting, exceptions, overrides, and board packs. But every write action needs human approval before it lands. No silent automation. Every action is audited.
The S&OP console enforces order: Demand Review unlocks Supply Review, which unlocks Exec S&OP. Lock the cycle once all gates clear, the plan freezes permanently. No more post-sign-off edits. No more finance and operations working from different numbers.
We don't promise 95% forecast accuracy on day one. We give you MAPE, WMAPE, and bias per SKU per model run. The ensemble leaderboard shows which model wins per product family. You know exactly where the model is reliable and where to apply human judgment.
Every create, update, delete, and approve, by human or agent, is logged with actor, timestamp, and resource ID. The append-only ledger captures every operationally significant event with idempotency keys. Compliance isn't a feature toggle; it's structural.
Tensor Analytics is built by people who've run planning teams, written forecasting models in production, and sat in S&OP meetings where the loudest voice won. We're not ex-McKinsey. We're operators.
Built forecasting systems for manufacturing planning teams. Writes prompt/ed on the AI hype hangover and where the actual value sits.
Covers AI regulation, ethical AI in industry, and the gap between conference keynotes and factory floor reality. Leads prompt/ed editorial.
Former demand planner turned product. Owns the IBP pipeline design and the exception-first workflow that drives GrepEye's UX.
We're always looking for planners, engineers, and writers who've lived the spreadsheet-to-ERP pain. If that's you, write to us at teams@tensoranalytics.ai.
Book a 45-minute walkthrough. We'll run the full GrepEye platform on a representative slice of your data, connectors, ML ensemble, S&OP console, scenario planning, and AI agents in chat. No slideware.