How Russian ERP platforms appear in the algorithmic choice of UAE customers
CIO of a state corporation · enterprise platform tender
11 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
2025
Confidence: medium- Basis
- annual corporate spend
The range is the spread between independent vendor estimates: they draw the category boundary differently. A single figure would be falsely precise.
What to change to be chosen
We found three possible directions for growth. We estimated how each of them could affect the buyer's choice and potential revenue.
1CUAE
H17 moEnter the consideration field with a first regional deployment.
Shortlist39AI answers out of 100 that name 1C×3to revenue from the buyer's decision journeyScenario estimate1CUAE
H27 moEnter consideration through a local partner.
Shortlist38AI answers out of 100 that name 1C×2.7to revenue from the buyer's decision journeyScenario estimate1CUAE
H37 moMeet the data sovereignty requirement.
Shortlist37AI answers out of 100 that name 1C×2.3to revenue from the buyer's decision journeyScenario estimate- Astra GroupNot assessed
The market is measured, but there is no report or growth hypotheses for Astra Group. We build them to order.
What task is the buyer solving?
Pick a choice scenario — a specific task of the buyer.
See which options AI systems consider, whom they recommend and how the participants' positions change across the stages.
Language shapes the choice
We study the same task in Arabic and English to see how language affects AI-system recommendations and companies’ positions.
Why does 1C appear in 38% of answers but get only 1% of recommendations?
We traced how 1C passes the five stages of choice in AI-system answers. See where its position weakens most and how competitors perform.
Measurement conditions: S1 «Choosing an enterprise platform for a state-corporation tender» · journey «Problem-first» · UAE · languages AR, 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.
Key finding
On the UAE market Russian ERPs barely enter the consideration field: the AI systems build the shortlist from global vendors and regional integrators, without linking Russian products to this category.
Point of maximum loss
The largest loss occurs between the stages «Discovery» and «Consideration»
1C · journey «Problem-first»
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 1C 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 to change to be chosen more often?
We identified what keeps the company from winning against competitors and proposed concrete actions to strengthen its position in the market.
Choose the solutions you want to implement. GolOps will help organise the work and check the result.
- 01
Show buyers a live deployment in the region
Prepare and publish your first public deployment example in the Gulf region.
Forecast+6pts to the indexPotential effect≈ $3 mn / year - 02
Speak to UAE buyers in Arabic
Prepare materials in Arabic and introduce a local partner who can support customers on the ground.
Forecast+5pts to the indexPotential effect≈ $3 mn / year - 03
Explain to buyers where their data will be stored
Describe how customer data is stored within the UAE and who controls access to it.
Forecast+4pts to the indexPotential effect≈ $2 mn / year
Every solution you add raises the plan’s potential
How the forecast is calculatedforecast · model
- 01 addresses the loss factor “Absence from the regional deployment evidence base” · 78% of answers
- 02 addresses the loss factor “No Arabic-language materials and no local support” · 63% of answers
- 03 addresses the loss factor “Compliance and sanctions risk in the AI's reasoning” · 55% of answers
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 · AR, EN
- Q1 2026
- measurement
ERP × UAE
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.
1C loses the choice at the stage «Evaluation»
1C — 11% · SAP — 84%. In 78% of observations one of the reasons is absence from the regional deployment evidence base.
- Content · UAE
Arabic-language materials for the region
Produce Arabic-language materials for the region.
Expected effect+5 pts to the index1 contractor - PR · UAE
Sovereign data hosting model
Document the sovereign data hosting model.
Expected effect+4 pts to the index1 contractor
