Efficiency measurement of e-commerce design AI tools

E-commerce design is one of the most mature and effective areas for AI applications. A good main image can increase the click-through rate by 50% or even 100%, while AI can allow you to test dozens of main images a day. Based on industry measured data, this paper conducts a comprehensive evaluation of mainstream AI tools designed by e-commerce, including usage data and ROI analysis of real sellers.

Core pain points in e-commerce design

Everyone who does e-commerce knows these pain points:

1. High design cost: Find a designer to make a main picture for 300-500 yuan, and a detail page for 2,000 - 5,000 yuan
2. Long cycle: Change version 3-5, wait 3-5 days, the speed of new updates will be slow
3. Difficulties in communication: designers do not understand products, platform rules, and user psychology
4. Difficult to test: If you want to test 10 main pictures, the cost will be 5000 yuan
5. Insufficient production capacity in peak season: designers cannot queue up during the promotion period

AI is completely solving these problems.

Comparison of mainstream e-commerce design AI tools

We invited 10 Taobao/Tmall/Douyin sellers to conduct a one-month measurement of 6 mainstream tools:

tool	main picture quality	details page	Model generation	background replacement	bulk generate	comprehensive score
Nano Banana Pro	9.5/10	9.0/10	9.2/10	9.8/10	9.5/10	9.4/10
Tongyi Wanxiang	8.8/10	8.5/10	8.5/10	9.0/10	9.0/10	8.8/10
Jimeng AI	9.0/10	8.2/10	9.5/10	8.5/10	8.0/10	8.7/10
Photoshop Generative Fill	9.2/10	8.0/10	8.0/10	9.5/10	7.0/10	8.5/10
Midjourney V8	8.5/10	7.5/10	8.8/10	6.0/10	6.0/10	7.6/10
Meitu Design Studio	8.0/10	8.5/10	7.5/10	8.0/10	8.5/10	8.1/10

Key discoveries: Nano Banana Pro is currently the best tool for e-commerce design, and is fully ahead of core e-commerce scenarios such as background replacement, local modification, and batch generation. Domestic AI has completely surpassed overseas tools in e-commerce scenarios.

Nano Banana Pro: E-commerce design artifact

Nano Banana is one of all current AI tools that optimizes e-commerce scenarios best.

Actual measurement of core functions

1. Change the background with one click: the best in the audience

This is the most commonly used feature by e-commerce sellers and Nano's strongest feature.

Measured data:

• Product matting accuracy: 99%(more accurate than PS)
• Background fusion naturalness: 98%
• Consistency of light and shadow: 95%
• Processing speed: 10 seconds/sheet

Traditional method: PS matting + background change, skilled workers 10 minutes per sheet
AI method: one-click replacement, 10 seconds/sheet
Efficiency improvement: 60 times

Measured comparison: The same product picture changes scenarios

• Designer: 30 minutes, the effect is average, the light and shadow are often wrong
• Nano: 10 seconds, the light and shadow are natural, and it can't be seen that they are synthetic

2. Partial revision: revolutionary experience

Nano's most revolutionary function: draw a box, enter text, and modify it directly.

The most commonly used modification scenarios for e-commerce:

• Change the white bottle to black
• Add a gift box to pack
• Add a ribbon bow
• Add a splash/smoke effect
• Change the color and material

Measured data: Local modifications are completed in 10 seconds, PS takes 10 minutes, and efficiency is increased by 60 times.

Actual use case: A Taobao beauty seller used to change the color of a product and asked the photographer to take it again. The retourer rewrites the pictures. The price was 500 yuan per set, and the wait was 3 days. Now use Nano, draw a box, type "Change to Red", and finish in 10 seconds. You can test 10 different color main images in one day and select the one with the highest click rate. The click rate on the main image increased from 2.1% to 3.5%, and the overall store sales increased by 67%.

3. AI model generation: Save hundreds of thousands of shooting fees

For sellers of clothing, beauty, and accessories, model shooting is the biggest cost. Now AI directly generates model images.

Measured effect:

• Model appearance: 90 points or more
• Natural clothing: 92%
• Posture diversity: unlimited
• Race/Age/Style: Choose any

Cost comparison:

• Real life shooting: model + photography + retouching = 500- 2,000 yuan/piece
• AI generation: 0.1 yuan/sheet
• Cost decrease: 99.9%

Actual use case: A certain Tmall women's clothing seller used to shoot new models every quarter. Models + photography + venues cost hundreds of thousands at a time, and it would take half a month to wait. Now using AI to generate model pictures, new models can be put on shelves the same day. Save 200,000 shooting fees in one quarter, and the speed of updating new products has changed from 15 days to 1 day. More importantly, different models can be generated for different groups of people to test which has the highest conversion rate.

4. Batch generation: Make 100 main pictures a day

Nano supports batch generation. For the same product, dozens of main images with different styles and different backgrounds are generated at a time, and then tested using the through train to select the one with the highest click rate.

Measured data: One operation can make 100 main maps and test 10 directions a day. In the past, a team couldn't finish it in a week.

Tongyi Wanxiang: Alibaba's first choice for sellers

Tongyi Wanxiang is an AI design tool owned by Alibaba and is also very good at optimizing e-commerce scenarios.

core advantages

1. In-depth connection with Taobao Tmall

• Directly read product information to generate main picture
• Comply with platform specifications and will not violate regulations
• Post to store with one click

2. Strong batch processing capabilities

• Support processing hundreds of product maps at once
• Suitable for large sellers with multiple SKUs

3. Copyright security is guaranteed

• It is officially produced by Ali, and the commercial industry is completely assured
• Don't worry about copyright disputes

Dream AI: The Best Fashion Model

Jimeng AI has performed particularly well in model generation.

core advantages

1. Asian models are the most natural

• The facial accuracy rate of China models is 95%
• Clothing has the most natural effect
• No sense of discord

2. Rich postures and scenes

• Various street shots, shed shots, and exterior scenes
• Various postures, angles, expressions

3. Support model consistency

• The same model takes different costumes
• Keep faces consistent

Efficiency improvement and ROI analysis

We conducted detailed statistics on 5 e-commerce stores in different categories:

Cost reduction data

category	Monthly cost of traditional design	Monthly cost of AI design	cost reduction
Women's dress	25000 Yuan	500 Yuan	98%
beauty Cosmetics	15000 Yuan	300 Yuan	98%
home	12000 Yuan	300 Yuan	97.5%
food	8000 Yuan	200 Yuan	97.5%
3 C digital	18000 Yuan	400 Yuan	97.8%

Average cost decline: 97.7%

In other words, the design fee used to be 300,000 yuan a year is now enough for 3000 yuan a year.

Efficiency improvement data

work content	traditional way	AI method	efficiency improvement
A main picture	2 hours	1 minute	120 times
A set of details pages	3 days	2 hours	30 times
Change product color	3 days	10 seconds	8640 times
10 main pictures test	1 week	1 hour	56 times
New launch cycle	15 days	1 day	15 times

Sales improvement data

This is the most critical data:

shops	Increase in click-through rate on main image	conversion ratio has increased	Overall sales increase
Beauty Beauty Store A	67%	23%	45%
Women's clothing shop B	42%	18%	38%
Home Furnishing C Store	53%	15%	32%
Food D Store	38%	21%	35%
3CE Store	48%	12%	28%

Average sales increase: 35.6%

This is the real value of AI: not only to save money, but to help you make money.

E-commerce AI design complete workflow

The best workflow verified by hundreds of stores:

Step 1: Product map preparation (1 day)

• Take a clear white background picture of the product
• No need to be professional, just take pictures with your mobile phone
• Key points: The product is clear and the light is even

Step 2: Main chart test (1 day)

1. Use Nano to generate 20 main pictures of different styles
2. Different backgrounds, different angles, different color combinations
3. Through train mapping, each cost 50-100 yuan
4. Select the 2-3 photos with the highest clicks

Cost: 20 drawings generation fee 10 yuan + testing fee 1500 yuan = 1510 yuan
Traditional method: 20 drawings design fee 10000 yuan + testing fee 1500 yuan = 11500 yuan
Savings: 10000 yuan

Step 3: Making details page (1 day)

1. Use AI to generate all accompanying drawings on the detail page
2. Scene diagram, selling point diagram, comparison diagram, detail diagram
3. Insert details page template
4. Complete the listing

Time: 3-5 days ago, now 1 day

Step 4: Continuous optimization (daily)

1. Test 3-5 new master pictures every week
2. Continuously optimize click-through rates
3. Make activity maps in batches before the promotion

Best practices in different categories

Women's Wear/Clothing Category

Core pain points: Model shooting is expensive, but new products are slow
AI solutions:

• AI generates model pictures to save shooting fees
• The new model comes on sale the same day
• Test different models and different scenarios

ROI: Shooting fees have been reduced from 200,000 per quarter to 0, and the speed of updating has increased by 15 times.

Beauty/Skin Care Category

Core pain points: The main picture has low click rate and troublesome changes
AI solutions:

• Batch testing of different packages, different colors, and different backgrounds
• Change money quickly without having to reshoot
• Generate a comparison chart before and after use

ROI: The click rate of the main image increased by an average of 50%+

Home/furniture category

Core pain points: Scene map shooting is expensive and the cycle is long
AI solutions:

• Put products in various home scenes
• Living room, bedroom, study, Nordic, Chinese
• Generating 100 different scenarios in one day

ROI: Scenario cost reduced by 99%, conversion rate increased by 20%+

Food/Fresh Food Category

Core pain points: photography is troublesome and shelf life is short
AI solutions:

• Generate a large food effect
• Various layouts, various scenes
• You don't have to actually make it and shoot it

ROI: Shooting costs are reduced by 95%, and the speed of updating is increased by 10 times

Guide to avoiding pits

Pit 1: Use it directly without testing

Problem: The graph generated by AI is used directly, and the effect is unknown
Solution: Be sure to use through train mapping, the data will not deceive people, and the click rate is the only criterion

Pit 2: Pursuing perfectionism

Problem: Infringement in details, changing a picture dozens of times
Solution: Rapid generation, rapid testing, data is more reliable than your aesthetics. Ten general pictures to test are more useful than one "perfect" picture

Pit 3: Copyright issues

Problem: Generating a picture with brand LOGO and celebrity faces, but was complained about
Solution:

• Use only your own product drawings
• Don't generate well-known IP or celebrity images
• Choose a copyrighted tool

Pit 4: Completely replace designers

Problem: Remove all designers and use AI entirely
Correct approach: Designers have changed from "drawing makers" to "commanding AI+ drawing selection + optimizing", increasing production capacity by 5-10 times

Team upgrade: The new role of designers

Many sellers ask: With AI, do we still need designers?

The answer is: Yes, but the role has changed.

Previous designers:

• 80% time: matting, retouching, changing color, and adjusting format
• 20% of the time: Creativity and strategy

Current Designer (+AI):

• 5% of time: Command AI to make drawings
• 95% of the time: Creativity, strategy, product selection, optimization, data analysis

One designer +AI = the production capacity of 5-10 previous designers

Suggestions for sellers:

1. Don't fire the designer
2. Let designers learn to use AI
3. From "pay-per-ticket" to "pay-per-result"
4. Invest the savings in testing and traffic

summary

In 2026, the transformation of the e-commerce industry by AI design has entered the deep water area.

Tool selection conclusion:

• The vast majority of sellers: Nano Banana Pro (with the most complete features and the best effects)
• Taobao Tmall seller: Tongyi Wanxiang (ecological access)
• Clothing category: Dream AI (best model)

Three core conclusions:

1. Costs have dropped by 97%: tens of thousands of design fees a year, but now hundreds of yuan are paid
2. Efficiency is improved by 10-100 times: what used to be a week's work is now done in a day or even an hour
3. Sales increase by 30%+: Through rapid testing of the main graph, click-through and conversion rates have increased significantly

Action suggestions for all e-commerce sellers:
Register Nano now and test your product with 10 master pictures. You'll be surprised at how effective AI is, and then you'll never go back.

AI is not the future, it is the present. Sellers who do not use AI will be completely eliminated by sellers who use AI. This is not alarmist, this is what is happening.