How Rico Auto turns the data from its die-casting cells, ferrous foundries and machining lines into one trusted picture — and into the decisions that compound into shareholder value.
A castings-to-components manufacturer usually can't answer a simple question the same way twice across aluminium die-casting, ferrous casting, machining and assembly. Rico Auto can — because every number is unified into one governed truth, then served as the exact answer each leader needs to act.
Each division and plant keeps its own books. A simple question — “what's our margin?” — returns a different number from each system, days later.
Data is resolved, federated and defined once — so the same question returns the same trusted number, live, for everyone.
Sign in as any leader and the cockpit becomes theirs: their queue, their views, their guided path from question to decision. Here is what that looks like.
Aluminium die-casting, ferrous and machining on a patchwork of plant, ERP and spreadsheet systems — no single, trustworthy read on whether the metal-to-mobility thesis is working.
One live enterprise picture and a ranked queue of the highest-value moves.
Walks into the board meeting with the answer — not a three-day data pull.
The Rico thesis: lift EBITDA margin 9%→12%+ through machining/value-add, automation and yield — the pillars, how the enterprise is performing, and the value it creates for shareholders.
Margin, aluminium-cost working capital and the ~3.1× leverage are buried across divisional ledgers.
P&L, working capital, covenant headroom and shareholder value in one governed pane — plus an agentic scenario planner.
Sees the deleveraging path and the cash for the next capex round in seconds.
Earnings to cash to value: the consolidated P&L, aluminium-cost and inventory working capital, deleveraging 3.1×→2.0×, division economics, and the listed-company valuation view.
Hard to know if margin expansion, deleveraging and the EV pivot are compounding shareholder value — and how it reads against listed peers.
The value-creation plan, EBITDA quality and the EV / market-cap bridge, governance-grade.
Reads the return, the leverage track and the dividend story at a glance.
Is the thesis compounding shareholder value: the data mesh behind the numbers, the three lenses, the footprint, the deleveraging & margin levers, and the market-cap / EV bridge.
Capacity, OEE, OTIF and automation status surface too late, plant by plant.
Live die-casting / CNC machine utilization, on-time delivery, scrap/PPM quality and supply risk.
Fills paid-for capacity and ships to the OEM line on time — without firefighting.
Sense → decide → act across the die-casting & machining plants: the towers, the agents that act, capacity & delivery, the workforce, and metals/supply risk.
Order book, content whitespace and program renewals scattered across OEM accounts and export desks.
Funnel → forecast → content cross-sell → RFQ wins & program renewals, in one flow.
Knows where the next order comes from, cuts Hero concentration and defends the value-added book.
Win and grow OEM platforms and convert RFQs to a durable order book: the sales funnel, OEM accounts & content cross-sell, quoting, value-added programs, and delivery.
EV / new-mobility content, lightweighting and R&D each tracked in their own silo — no shared view of the designed-in win pipeline.
EV-component programs, first-pass quality, lightweighting capex returns and the connected-mobility R&D ramp in one place.
Sees where the new-mobility engine is winning — and where to put the next capex rupee.
Grow EV / e-mobility content and lightweighting: where the demand is, the capex behind it, the divisions it joins, the value-added program book, and how it lifts blended margin.
Aluminium / pig-iron / scrap cost and LME exposure live in slideware, not live data.
Metal & energy spend, supplier OTIF and terms (DPO), and supply-chain risk in one governed view.
Protects margin through the aluminium cycle and keeps the lines fed, supplier by supplier.
Sense → decide → act across the die-casting & machining plants: the towers, the agents that act, capacity & delivery, the workforce, and metals/supply risk.
Arvind Kapur runs Rico Auto on four priorities. Each pillar has concrete levers, a standing AI agent (or desk) working it, and a live goal with a target — so the thesis is measurable, not a slogan.
Lift EBITDA margin 9%→12%+ via machining/value-add, automation, energy & yield.
Grow EV / e-mobility content & lightweighting with designed-in wins.
Cut Hero concentration 26%→<20% and grow exports 22%→30%.
Net debt/EBITDA 3.1×→2.0×, ROCE 9%→14%, working-capital discipline.
The ontology is the model behind the truth: ten classes, one keystone. The plant / unit is where division, leader, legal entity and geography reconcile — so a number computed anywhere foots everywhere.
A 360 assembles everything the platform knows about one subject — graph context, governed metrics, external signals — into one role-ready surface a person and an agent read the same way.
One spine shows the value, the conversion, the days and the leakage at every handoff — from order to collected cash, with WIP/inventory and export-document drag at each step. The biggest pools: in-process inventory and aged receivables.
The metal-to-mobility shift only works if the transformation moves fast and the thesis is provable — and only matters if the numbers tie out. A standing reconciliation harness proves each metric equals the sum of its parts.
Pick a leader and walk their journey, ask the cockpit a question, or look under the hood.