How many customers are affected by name conflicts?
Name, email and phone conflicts
A retail customer-data project in Türkiye · Data quality assistant
$0.006173Calculated total
Client, brand and personal information has been removed. Examples include summaries and complete available conversations. Full conversations preserve every user and agent message in order, translated into English where needed. The status reflects the outcome reported at the time.
6 messages · All available user and agent messages, in chronological order.
Name conflicts — different names under the same customer identifier — affect 1,732 unique customers.
Profile: - Brand: Mainly multi-brand, 1,578; only 154 single-brand. - Channel: Mainly online: 1,040 online-only, 99 offline-only, 571 mixed online/offline, 22 channel-agnostic. - By brand: Brand A 1,516; Brand B 1,294; Brand C 517; Brand D 6.
Example customers from the 50 relevant records: - Customer 1 — Brand B and Brand C; offline and online. - Customer 2 — Brand C and Brand A; offline and online. - Customer 3 — 3 name variants; Brand B and Brand A; online.
Decision support: The same customer record contains several different full-name variants. The conflict needs resolving to determine the correct canonical name. I am not authorized to modify or overwrite data; I am directing the operation to the case page. I can examine a particular customer’s variants in detail if you wish.
Give me an example customer list for the email–phone case.
The email–phone case — one email linked to multiple phones — affects 1,100 unique customers across 539 email addresses.
Profile: - Brand: Mainly single-brand, 992; only 108 multi-brand. - Channel: Mainly online: 786 online-only, 254 offline-only, 20 mixed, 40 channel-agnostic. - By brand: Brand A 607; Brand B 468; Brand C 130; Brand D 5.
Examples from 50 records: Multiple phones are linked to the same email in each customer’s pair of records below.
| Customer record | Phone | |
|---|---|---|
| Customer 4 — first record | [redacted] | [redacted] |
| Customer 4 — second record | [redacted] | [redacted] |
| Customer 5 — first record | [redacted] | [redacted] |
| Customer 5 — second record | [redacted] | [redacted] |
| Customer 6 — first record | [redacted] | [redacted] |
| Customer 6 — second record | [redacted] | [redacted] |
| Customer 7 — first record | [redacted] | [redacted] |
| Customer 7 — second record | [redacted] | [redacted] |
Decision support: The same email address is connected to multiple phone numbers and different customer records. A canonical phone must be chosen and any duplicate records merged. I am not authorized to modify or merge data; I am directing the operation to the case page. I can detail every connection for a particular email address if you wish.
What is the profile of customers with phone conflicts?
Phone conflicts — different phones under the same customer identifier — affect 31 unique customers.
Profile: - Brand: Balanced: 16 multi-brand, 15 single-brand. - Channel: Mainly online and mixed: 14 online-only, 13 mixed online/offline, 3 channel-agnostic, only 1 offline-only. - By brand: Brand B 23; Brand C 14; Brand A 10; Brand D 0.
Summary: This is the smallest conflict group, with 31 customers. Most use online or mixed online/offline channels, and multi-brand customers are a slight majority. The small number makes individual review practical.
Decision support: All 31 records can be reviewed in detail to determine the canonical phone. I am not authorized to modify or overwrite data; I am directing the operation to the case page. I can share the list of these 31 customers if you wish.
Analysis completed; no customer records modified.
Cost scope
- Models used in this execution
- DeepSeek V4 Flash
- Runs / model calls
- 3 / 6
- Input / output tokens
- 58,795 / 1,780
- Record date
- Aug 27, 2026, 3:32 PM
Calculated total sums all 3 verified turns in the displayed conversation, including continuation and delegated work, counted once. No percentile trimming. Snapshot covers 2026-08-27 through 2026-08-27; preserves all 6 available user/agent messages. External services and infrastructure are excluded.
Agent costs vary dynamically with the scope of the request, conversation context, models and tools used, response length and usage volume. The amounts below are reference examples from verified historical execution records. External service and infrastructure fees should be considered separately.
These are selected examples, not the limits of what agents can do. Agent capabilities extend beyond the tasks, industries and regions shown here, and can be adapted to different workflows and business needs.