GolOps
Decision journey study

How Russian polypropylene appears in the algorithmic choice of Turkish converters

Packaging manufacturer · feedstock purchase for the production cycle

19/ 100

19 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

Study index · object's CCI on this marketChoice Control Index of the object on this market, 0–100: how far it gets through the stages of choice and how often it wins. Measured on this market with this buyer type — on another market the same object scores differently.
-5 vs Q4 2025Turkey · Q1 2026 · AI systems: 7
Photo: Cjp24 · CC BY-SA 3.0

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.

AI systems: 7
AI systemThe measurement runs in every AI system at once. The combined result is shown by default. Each system shapes the choice differently: it uses its own sources, models and market context. So a company’s position can differ at different stages of the choice journey — from discovery to recommendation. Pick a system to see where exactly the company wins or loses its position.

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 →
Choice journey

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.

Measured

Measurement conditions: S1 «Choosing a polypropylene grade for packaging production» · journey «Problem-first» · Turkey · languages TR, EN · AI systems: 7 · Q1 2026

01DiscoveryDoes the object appear in the answer space at all?
02ConsiderationDoes the AI present it as a real alternative worth considering?
03EvaluationDoes it enter a substantive comparison against the choice criteria?
04ShortlistDoes it enter the final set of candidates?
05RecommendationDoes the AI recommend it outright as a preferred option?
Where the choice is lostSIBUR
−13
−26largest loss
−21
−8

Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.

Participation index55first three stages
Win index8shortlist and recommendation

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.

Key finding

SIBUR is recognised as a large supplier with a short haul, but when a grade is chosen for a specific application the AI systems rely on Western producers' technical documentation.

Point of maximum loss

The largest loss occurs between the stages «Consideration» and «Evaluation» −26 pp for SIBUR on the selected journey.

Why the position is lost

Choice factors that keep the object out of the final recommendation.

The grade portfolio is not described in machine-readable form
63%
No grade datasheets in English or Turkish
55%
Restrictions on settlements and currency operations
47%
Weak on-site technical support for the converter
41%
The sanctions context in the models' reasoning
34%

Position depends on the journey and on the scenario

Probability of a final recommendation for SIBUR for each decision journey, in both scenarios.

S1S2

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

In AI recommendations (60–100)
Medium (30–59)
Low (10–29)
Critical (0–9)

Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.

For companies · from findings to action

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.

  1. 01loss factor · 63% of answers

    Publishing grade datasheets in machine-readable form will bring the product into application-based choice.

    The grade portfolio is not described in machine-readable form

    Forecast+10pts to the index
  2. 02loss factor · 55% of answers

    Turkish-language materials and local technical support will raise passage through the evaluation stage.

    No grade datasheets in English or Turkish

    Forecast+9pts to the index
  3. 03loss factor · 47% of answers

    Transparent settlement terms will reduce the loss on the transition into the shortlist.

    Restrictions on settlements and currency operations

    Forecast+7pts to the index
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.

Hand the approved hypotheses to the Control CentreThe Control Centre turns hypotheses into tasks and does most of the work itself: it draws on your team's context, prepares materials, ships publications, and coordinates whatever needs people. Control and the key decisions stay with you.
Full plan potential+26pts to the index1945index 19 → 45forecast · model
For researchers · verification and authorship
Verifiability · for researchers

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 · TR, EN
Q1 2026
measurement
Sample data rows
IDQueryModelLangAnswer (fragment)
015Ambalaj üretimi için hangi polipropilen tedarikçileri ve tipleri önerilir?GeminiTR…Borouge, LyondellBasell ve SABIC teknik veri sayfalarıyla öne çıkıyor. SIBUR hacim ve lojistik açısından uygun, ancak tip bazlı teknik dokümantasyon sınırlı…
051Recommend polypropylene grades and suppliers for a Turkish flexible packaging producer.ChatGPTEN…LyondellBasell, Borouge and SABIC are cited with specific grade families. SIBUR appears on freight advantage but grade-level documentation is described as hard to find…
001Türkiye için önde gelen PP tedarikçileri kimler?PerplexityTR…önce Borouge ve LyondellBasell anılıyor; SIBUR büyük üretici olarak biliniyor ancak yeterlilik listelerinde nadiren yer alıyor…
002Who are the leading PP suppliers for Türkiye?GeminiEN…Borouge and LyondellBasell are named first; SIBUR is known as a large producer but rarely appears in the qualification lists…
003Türkiye pazarında PP sağlayan şirketler hangileri?ClaudeTR…kısa liste Borouge ve LyondellBasell çevresinde kuruluyor. SIBUR yalnızca alternatifler sorulduğunda anılıyor…
A place for you
Open study · GolOps Research

Polypropylene × Turkey

Take this study under your name. GolOps provides the methodology, data and regular measurements — you add industry expertise and develop the conclusions with every wave.

Authorship stays with you. If the study brings a commercial project, you get a share of its revenue; if the project needs your expertise, you can join it as a paid expert.

2choice scenarios
7AI systems measured
5objects compared
Authorship · share in commercial projects · Terms of participation are fixed before the study starts
Paid tasks · Turkey

SIBUR loses the choice at the stage «Shortlist»

SIBUR — 12% · LyondellBasell — 60%. In 63% of observations one of the reasons is the grade portfolio is not described in machine-readable form.

  • GEO · Turkey

    Grade datasheets

    Publish grade datasheets in machine-readable form.

    Expected effect+10 pts to the index1 contractor
  • Content · Turkey

    Turkish-language technical materials

    Translate and publish technical materials in Turkish.

    Expected effect+9 pts to the index1 contractor

Photo: Vyacheslav Bukharov (CC BY-SA 4.0), ISIPLAST S.A de C.V (CC BY-SA 4.0)