OmniBlend Discover · Precision at scale, profit by design.

Refinery

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Overview

Portfolio & Report

Discovery Workbench

Analytics

AI Insights

Refinery profile

Mid-segment Indian lube blender · Last-period operating data

Annual blend volume

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Total batches / yr

1,650

— KL / — MT average

Material cost (baseline)

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historical, locked

Discovery progress

0 / 7

blends with Expected case saved

Discovery workflow

Four steps. Each blend gets three scenarios — Low, Expected, High — to bracket the realistic range.

Step 1

Review portfolio

Confirm last-period data per blend

Step 2

Run scenarios

Pick mode, dial sliders, save each

Step 3

Analytics

Multi-view value pool with confidence band

Step 4

AI insights

Decision-ready recommendations

AI insight on the refinery profile

A high-level read on where OmniBlend value is concentrated.

Click Generate to produce a high-level read on the refinery profile.

Portfolio data management

Replace the demo data with your own plant's blend portfolio. Up to 10 blends supported. Use the industry master template as a starting point — it ships with the most common Indian lubricant categories and benchmark baselines.

Currently loaded: 7-blend demo portfolio

Historical portfolio & scenario report

Last-period data on the left; saved Low / Expected / High annual savings on the right. Click any row to edit scenarios in the Workbench.

Blend	Historical (last period)								Saved scenarios — annual savings (₹L)
Blend	Batch (KL)	Batch (MT)	Density (kg/L)	Batches/yr	Add %	Add ₹/L	Base ₹/L	Annual ₹L (cost)	Low	Expected	High	Status

Simulating

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Per-batch saving

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Step 1 — Pick the scenario you're estimating

Each blend gets three scenarios. Pick a mode below — sliders pre-fill with that scenario's preset, then refine.

Expected — what a well-calibrated optimiser delivers steady-state

Step 2 — Refine the values for this scenario

Manual baseline is locked from historical data; only OmniBlend targets need refining.

Manual baseline (Before) — locked from historical

OmniBlend target (After) — refine for this scenario

Step 3 — Save this scenario

After saving, switch to another mode (Low or High) to bracket the range.

Loss-category breakdown — current state

Live update as you adjust sliders.

Per-batch & annual cost — current scenario

Cost reading on the active blend with current slider values. KL for production, MT for procurement. Updates live as sliders move.

Reading	UoM	Volume	Manual baseline ₹/unit	OmniBlend target ₹/unit	Saving ₹/unit	Total ₹	Total saving ₹

Saved scenarios for this blend

Banked Low / Expected / High estimates.

Expected value pool

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annual

Confidence range

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low–high

% of baseline cost

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expected case

Verdict

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awaiting data

Detailed scenario report

Per-blend savings across scenarios. KL and MT rows side-by-side. Click any blend to drill down into per-batch costs, loss-category breakdown, and saved scenario detail.

Blend	UoM	Volume / yr	Manual cost	Low saving	Expected saving	High saving	Range width	% of pool	Saving as % cost

Range per blend (₹ L/yr)

Floating bars show low–high; dot marks Expected.

Loss-category mix — Expected case

Where the value comes from across the saved blends.

Pool composition

Expected-case contribution by blend.

Saving rate vs volume

Where size meets opportunity. Top-right blends are highest-leverage.

Range-bound cost analysis — Worst / Expected / Best

Annual material cost per blend. Each blend gets two rows: KL for production reading, MT for procurement reading. Total annual rupees are absolute (same value across both rows).

Blend	UoM	Volume / yr	Worst case ₹/unit	Expected ₹/unit	Best case ₹/unit	Net saving ₹/unit	Saving rate	Total annual cost (₹L)	Annual saving (₹L)

Savings rate per unit — by scenario

Annual savings as ₹ per unit produced, by scenario. KL and MT rows side-by-side for direct comparison across blends regardless of batch size.

Blend	UoM	Low scenario	Expected scenario	High scenario

Portfolio savings heat map

Each cell colour-coded by savings intensity. Darker = larger annual saving. Spot the hotspots and cold-spots at a glance.

Cold (low saving)

Hot (high saving)

AI insight on the analytics

What the value pool tells us.

Save scenarios first, then click Generate.

Executive brief

Board-ready summary of discovery findings, value pool, and recommended next steps.

Click Generate to produce the executive brief.

OmniBlend Insights Report · 8-page printable

Full AI-drafted executive read in the OmniBlend Insights Report format (cover, headline, confidence band, value mix, loss categories, heat map, recommendations, risks). Opens in a new tab — print or save as PDF from there.

Save scenarios first, then click Generate Insights Report. The full 8-page document opens in a new tab.

Insight history

Last 20 insights generated across the toolkit.

No insights generated yet.