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2026-02-15 AM 10:51

Summarize H1 sales by channel. Include the brand-level share and the quarter-over-quarter change.

I'll summarize H1 sales by channel using ERP sales data.
Would this structure work?

Sales trend and share by channel
Sales share by brand (channel cross-cut)
Quarter-over-quarter change

Should I format it as a PPT using the previous exec report template?

2026-02-15 AM 10:52

2026-02-15 AM 11:02

Sounds good — go with that format.

Got it, starting now.

To-do list5 items

Query ERP sales data

Aggregate sales trend by channel

Cross-analyze share by brand

Compute QoQ growth rate

Generate Excel file (chart + table)

Done.

2025 H1 Sales by Channel.xlsx

EXCEL · 2.4 MB · done

Open

SlideContent

1Key metrics summary

2Sales trend by channel (chart)

3Share analysis by brand (chart)

4QoQ change analysis

5Takeaways and recommendations

Our own store's share grew 4.1%p QoQ, and the Coupang channel led growth at +22.3%.
Full details are included in the report.

2026-02-15 AM 11:03

Summarize H1 sales by channel. Include the brand-level share and the quarter-over-quarter change.

2025 H1 Sales by Channel.xlsx

EXCEL · 2.4 MB

	A	B	C	D	E	F	G
1
2
3	Channel × Brand Cross-Analysis
4
5	Brand	Own store	Coupang	Naver Store	SSG	Kakao Commerce	Offline
6	Luming Skin	9,830	5,670	3,920	2,340	1,520	1,300
7	Botani Cam	4,920	6,240	3,580	1,870	1,210	1,100
8	Urban Mode	4,310	3,120	4,280	1,230	780	630
9	Fresh Home	2,450	1,890	1,620	3,120	980	810
10	Kids Bloom	1,830	1,420	1,240	890	2,010	840
11	Other	2,080	1,990	1,270	770	550	1,090
12	Total	25,420	20,330	15,910	10,220	7,050	5,770
13
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15	Channel sales mix by brand 30,000 25,000 20,000 15,000 10,000 5,000 0 Luming Skin Botani Cam Urban Mode Fresh Home Kids Bloom Other
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Sales by Channel

5 sheets

OntologyAnalyticsAgent

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Data

Properties

Metrics

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Change requests

SLA

Schedule

Ontology

Properties

Basic infoOrder ID, order time, payment status, etc.

Customer infoCustomer tier, acquisition channel, region, etc.

Product infoBrand, category, SKU, unit price, etc.

Sales infoGross amount, discount, net sales, margin, etc.

ParticipantsMembers involved in inquiries

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Inquiries

Reviews

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Transactions

Ads

Customers

Products

Transactions

Custom

1D
7D
28D
Quarter
Half
YTD

Filters

Transaction amount

is₩100,000or more

Basic info

Customer info

Product info

Sales info

Default (38)

Transaction amount

Phone number list

Shipped at

Customer sentiment

Cancellation detail

Customer emotion

Customer satisfaction

Product ID	Shipping fee	Cancelled
4800234	4,000	45,000
4800235	3,000	23,000
4800240	5,000	125,000
4800240	5,000	19,000

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Orders

Monthly sales trend

2026.07.30 – 08.10

1D
7D
28D
Quarter
Half
YTD

DailyWeeklyMonthly

Target1,500,000

Aug 4, 2025

Monthly sales trend

Current 2,112,000

Jul 31, 2025Aug 2, 2025Aug 4, 2025Aug 6, 2025Aug 8, 2025Aug 10, 2025

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[Sales alert] 'B2B online channel' sales dropped 12.3% week over week.

Deskroomto me ▼

Sales alert

'B2B online channel' sales dropped 12.3% week over week.

(Last week ₩84,200,000 → this week ₩73,840,000)
A three-week consecutive downward trend has been detected on this channel.

Click the button below to open the page.

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2026-02-15 AM 11:02

Build a task list for each staff member based on monthly data.

Got it, starting now.

To-do list4 items

Collect 2026 monthly ticket volume trend (Jan–Dec)

Aggregate 2026 ticket counts by agent

Cross-analyze share by service

Generate Excel file (chart + table)

2026 Task list based on ticket counts per agent.xlsx

EXCEL · 2.4 MB · done

Open

For inquiry tickets, our own store's share grew 4.1%p QoQ,
and tickets handled by the CS team were resolved in 1.2 days on average.
Full details are included in the report.

2026-02-15 AM 11:03

2026 Task list based on ticket counts per agent.xlsx

EXCEL · 2.4 MB

	A	B	D
1
2
3	Inquiry tickets by agent
4
5	Agent	Total tickets
6	Uri Jung	7,855	Uri Jung
7	Seoyeon Kim	6,732	Uri Jung
8	Jiwoo Min	6,724	Jiwoo Min
9	Siwoo Kim	6,578	Jiwoo Min
10	Hayoon Park	6,432	Hayoon Park
11	Seohyun Park	6,109	Hayoon Park
12	Hayoon Min	6,048	Hayoon Min
13	Jia Yoon	6,014	Hayoon Min
14	Hyeram Yoo	5,936	Hyeram Yoo
15	Sua Min	5,865	Hyeram Yoo
16	Chaewon Jung	5,793	Chaewon Jung
17	Sua Jang	5,790	Chaewon Jung
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Tickets analysis by agent

OntologyAnalyticsAgent

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Analyzing data unified across channels made it clear that our refund process needed to be improved.”

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Data collected, AI processing, people deciding

Unify your data,let AI handle the busywork

Bring scattered data into one place

Understand your data and design how it's interpreted

Find what you need instantly across unified data

Define metrics and build visual dashboards

Monthly sales trend

Automate routine reports and catch anomalies instantly

[Sales alert] 'B2B online channel' sales dropped 12.3% week over week.

Agents that think, act, and deliver results

Brand, retail, platform, manufacturing.An AI solution built for each industry

The right solution,tailored to each industry

Brand

Retail

Platform

Facility management

Manufacturing

Service

Finance

And more industries

Run safely insideyour enterprise environment

Proven by voices from the field —see the business impact for yourself.

While AI does the work,focus on what matters most

Data collected, AI processing,
people deciding

Unify your data,
let AI handle the busywork

Brand, retail, platform, manufacturing.
An AI solution built for each industry

The right solution,
tailored to each industry

Run safely inside
your enterprise environment

Proven by voices from the field —
see the business impact for yourself.

While AI does the work,
focus on what matters most