How Russian polypropylene appears in the algorithmic choice of Indian converters
Consumer goods manufacturer · feedstock contract
13 out of 100 — this is how much the object influences the choice in this scenario0 — the buyer never sees you, 100 — you are recommended first
The choice happens right here.
On a specific scenario and in the relevant languages we show where the company holds a strong position and where it starts to lose it.
Pick a company and find out why it loses the position, who takes its place, what the economic effect is and what can be changed.
The range is the spread between independent vendor estimates: they draw the category boundary differently. A single figure would be falsely precise.
Choice scenarios
The scenario is the economic task being measured. It sits below the market: each market has its own scenarios. Switching it recomputes the stages of choice, the point of maximum loss, the journey comparison, and the forecast under “Points of intervention”. The key finding, the loss factors, and the competitors belong to the measurement as a whole.
Language is a run condition, not a separate scenario: the same economic task is asked in the local language and in English. The gap between them is visible in the raw observations at the bottom of the page.
Compare the scenarios across journeys →Passing the stages of choice
Share of AI-system answers where the object passes each stage of choice and stays in the buyer's consideration field. The early stages make up the Participation Index, the shortlist and recommendation — the Win Index.
Measurement conditions: S1 «Contracting feedstock for the production year» · journey «Problem-first» · India · languages HI, EN · AI systems: 7 · Q1 2026
Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.
A stage is analytical markup of a step, not a required order of conversation: a journey may start with a recommendation and come back to comparison.
On the Indian market the choice is skewed towards local producers: Russian grades barely appear in the answers, and when they do it is without any link to a specific application.
The largest loss occurs between the stages «Consideration» and «Evaluation» −20 pp for SIBUR on the selected journey.
Why the position is lost
Choice factors that keep the object out of the final recommendation.
Position depends on the journey and on the scenario
Probability of a final recommendation for SIBUR for each decision journey, in both scenarios.
The scenarios are different economic tasks. Their levels may be set side by side but not subtracted: the gap between scenarios is not a deficit to be closed.
Who takes the place
Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.
What implementation givessample analysis
Each hypothesis is a verifiable action with a forecast of the index gain. Approve the ones you take on — implementation starts from your confirmation.
- 01loss factor · 69% of answers
Describing grades by application will bring the product into comparison on the technical task, not on price alone.
A local producer dominates the answers
Forecast+8pts to the indexEconomic potential≈ $37 mn / year - 02loss factor · 57% of answers
A warehousing programme in India will narrow the delivery-time gap in the models' reasoning.
Grades are not tied to specific applications
Forecast+6pts to the indexEconomic potential≈ $28 mn / year - 03loss factor · 50% of answers
Publishing datasheets in English will raise passage through the consideration stage.
Logistics and delivery times compared with the Gulf
Forecast+6pts to the indexEconomic potential≈ $28 mn / year
How the forecast is calculatedforecast · model
This is a sample analysis for an object that entered the universe of this measurement. The universe is assembled anew at every scan of the category: its composition and the positions within it may change. Forecast, not a measurement. The upper bound is the loss at the narrowest transition, distributed across the weights of the loss factors; stage-passing points are carried into index points one to one, and the conversion coefficient is not yet established by the methodology. The money figure uses a working calibration: CCI is measured inside the category universe rather than against the whole market, so 25 index points are taken as roughly 2 percentage points of market share. The actual gain is obtained empirically only — by repeating the same benchmark after the intervention.
Check the conclusions against the raw observations
Study the data, reproduce the conclusions or find what we missed.
How the measurement works- 170
- observations
- 7
- AI systems
- 2
- languages · HI, EN
- Q1 2026
- measurement
Polypropylene × India
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SIBUR loses the choice at the stage «Shortlist»
SIBUR — 6% · Reliance Industries — 68%. In 69% of observations one of the reasons is a local producer dominates the answers.
- GEO · India
Grades described by application
Rewrite grade descriptions around the application rather than the composition.
Expected effect+8 pts to the index1 contractor - Content · India
Datasheets in English
Translate and publish datasheets in English.
Expected effect+6 pts to the index1 contractor
Photo: Vyacheslav Bukharov (CC BY-SA 4.0), ISIPLAST S.A de C.V (CC BY-SA 4.0)