AI and process automation for manufacturers
Handle more D2C and B2B orders without adding work to every order
At Aurora Creation, we implement AI and automate processes for manufacturers running their own D2C and B2B e‑commerce. We improve work between the store, ERP, product database, warehouse and teams.
Start with a free workshop. We will select a task and build a free proof of concept afterwards, such as reading an emailed order and saving its lines in a table.
- D2C e‑commerce
- B2B sales
- AI & automation
How much manual work does each new order create?
The store accepts orders, but behind the scenes your team still copies data, checks prices, fills in product details and resolves differences between systems. As sales grow, that work consumes more time and margin.
You grow your store, acquire customers and launch B2B sales. Orders increase. So does the number of tasks someone has to complete manually.
A salesperson corrects a trade customer's order.
They match product codes, convert pack quantities and copy data into the ERP.
E‑commerce staff check several systems.
The team investigates availability, order statuses and differences between the store and warehouse.
The catalogue waits for product preparation.
Specifications sit in technical documents, images in folders and descriptions in separate files.
A manager builds reports and investigates delays.
They combine exports and ask colleagues for progress updates.
Every task costs your team's time. Mistakes cost additional work, delays and service effort.
Automation takes over copying and data checks while AI reads documents and prepares content. Your team handles exceptions and tasks that require a decision.
What can we automate in a manufacturer's e‑commerce?
Orders, products and data exchange between systems. We select tasks that repeat with each sale or catalogue change.
B2B orders from emails, PDFs and spreadsheets
Trade customers use different order formats and their own product codes. Handling them requires reading data, matching codes and checking commercial terms.
We read order lines, match known product codes and flag missing details before passing the data to the ERP.
Impact on the teamYour team handles exceptions and customer arrangements. The solution takes over repetitive copying.
D2C and B2B order flow between systems
Store orders need to reach fulfilment with the right data. Status, payment, documents and shipping information need to return to the relevant tools.
We connect workflow stages and automate data exchange. We flag errors and orders needing intervention.
Impact on the teamLess manual checking that an order moved forward. Fewer cases stuck between the store, ERP and warehouse.
Preparing products for sale
A new collection or product range requires specifications, descriptions, images and information for different sales channels.
AI drafts descriptions from product specifications. Automation checks records for completeness and sends approved information to the store and B2B catalogue.
Impact on the teamThe team prepares products for publication faster and keeps data more consistent.
Price lists, discounts and pack quantities in B2B
Customer price lists, discounts, minimum quantities and pack multiples affect order accuracy.
Automated checks verify trade pricing, discounts and pack multiples, flagging discrepancies before the order is fulfilled.
Impact on the teamCatch an error before it creates document corrections, extra contact or shipping problems.
Growing the catalogue and entering new markets
Expanding your range creates more description versions, translations and product data requirements.
AI prepares translations and content variants while automation checks completeness and sends material to the relevant sales channels.
Impact on the teamA larger catalogue and more markets involve less duplicated work.
Reporting and identifying sales issues
Combining store, ERP and warehouse exports takes time before anyone starts analysing results.
We automate reports and flag situations needing attention: stalled orders, missing data or inconsistent statuses.
Impact on the teamManagers receive information they can act on. The team gets back time spent assembling reports.
Trade customers use different order formats and their own product codes. Handling them requires reading data, matching codes and checking commercial terms.
We read order lines, match known product codes and flag missing details before passing the data to the ERP.
Impact on the teamYour team handles exceptions and customer arrangements. The solution takes over repetitive copying.
Store orders need to reach fulfilment with the right data. Status, payment, documents and shipping information need to return to the relevant tools.
We connect workflow stages and automate data exchange. We flag errors and orders needing intervention.
Impact on the teamLess manual checking that an order moved forward. Fewer cases stuck between the store, ERP and warehouse.
A new collection or product range requires specifications, descriptions, images and information for different sales channels.
AI drafts descriptions from product specifications. Automation checks records for completeness and sends approved information to the store and B2B catalogue.
Impact on the teamThe team prepares products for publication faster and keeps data more consistent.
Customer price lists, discounts, minimum quantities and pack multiples affect order accuracy.
Automated checks verify trade pricing, discounts and pack multiples, flagging discrepancies before the order is fulfilled.
Impact on the teamCatch an error before it creates document corrections, extra contact or shipping problems.
Expanding your range creates more description versions, translations and product data requirements.
AI prepares translations and content variants while automation checks completeness and sends material to the relevant sales channels.
Impact on the teamA larger catalogue and more markets involve less duplicated work.
Combining store, ERP and warehouse exports takes time before anyone starts analysing results.
We automate reports and flag situations needing attention: stalled orders, missing data or inconsistent statuses.
Impact on the teamManagers receive information they can act on. The team gets back time spent assembling reports.
We select a recurring task that consumes team time, then check its data sources and connections between your systems.
Book a free workshopWhat changes in a manufacturer's daily work?
Illustrative applications in a business running its own D2C and B2B sales.
From technical data to a store description
AI turns product specifications into customer-facing copy. Technical data remains the source, without adding features absent from the documentation.
Before: raw product sheet
ALB-120-BK · product documentation
- Product
- ALBA 120 indoor wall light
- Material and colour
- Aluminium, matt black
- Dimensions
- Width 12 cm, height 18 cm
- Light source
- GU10 LED, max. 8 W; bulb not included
- Power and protection
- 230 V, IP20; indoor use
- Installation
- Mounting screws included
After: description ready for publication
Product description
ALBA 120 wall light — matt black
An indoor aluminium wall light in matt black, measuring 12 cm wide and 18 cm high.
Takes a GU10 LED bulb up to 8 W, sold separately. Mounting screws are included. 230 V supply and IP20 protection — designed for indoor use.
The team receives a description grounded in product data and a template for subsequent products.
Demonstration using fictional ALBA 120 product data.
| Situation | Before automation | After automation |
|---|---|---|
| A trade customer submits an order in their own spreadsheet. | A salesperson copies items and finds matching product codes. | Data is extracted, known codes are matched and unclear items are flagged for review. |
| A manufacturer launches a new range in its D2C store and B2B catalogue. | The team collects data and prepares content separately for each channel. | Specifications come from the PIM and documentation, gaps are flagged to the team and AI drafts product descriptions. |
| An order fails to move from the store to the ERP. | The issue appears during manual checks or after a delay is reported. | A flow check flags the stalled order and directs it for handling. |
| Product data changes. | Staff update it in several places and check consistency. | Changes saved in the source system reach the connected store and B2B catalogue. |
| Management needs an overview of D2C and B2B orders. | A manager combines files from several systems. | The report is prepared automatically, so the manager can analyse the result. |
A trade customer submits an order in their own spreadsheet.
Before automation
A salesperson copies items and finds matching product codes.
After automation
Data is extracted, known codes are matched and unclear items are flagged for review.
A manufacturer launches a new range in its D2C store and B2B catalogue.
Before automation
The team collects data and prepares content separately for each channel.
After automation
Specifications come from the PIM and documentation, gaps are flagged to the team and AI drafts product descriptions.
An order fails to move from the store to the ERP.
Before automation
The issue appears during manual checks or after a delay is reported.
After automation
A flow check flags the stalled order and directs it for handling.
Product data changes.
Before automation
Staff update it in several places and check consistency.
After automation
Changes saved in the source system reach the connected store and B2B catalogue.
Management needs an overview of D2C and B2B orders.
Before automation
A manager combines files from several systems.
After automation
The report is prepared automatically, so the manager can analyse the result.
The scope is tailored to your processes, data and systems.
Find a task whose automation will reduce your workload
In the free workshop, we look at what happens between accepting an order, fulfilling it and managing your catalogue every day.
What will we examine in the workshop?
- Where the team repeats the same tasks for each order or product
- Which mistakes generate the most rework
- Where data gets stuck between the store and business systems
- Which task is worth automating first
- How we will assess the selected automation
First automation
Choose one task to complete
For example, reading an emailed order, checking a product spreadsheet or preparing a report. We identify the input data and the result your employee needs.
You do not need a technical specification. Bring a concrete problem from daily work.
Book a free workshopAfter the workshop, you receive working automation
After the workshop, we build a free proof of concept: a working automation of one task selected with your team.
For example, an order file becomes a structured table, a product spreadsheet gets a list of missing fields or a report flags orders that need intervention.
- 01
Choose a task and its data
Identify the file, message or export and the result your employee needs from it.
- 02
Receive a free proof of concept
You receive a first working automation for the selected task.
- 03
Try it in your business
Assess what changes in daily work and whether to develop it further.
You try it on your own example. See which tasks it handles and how much work remains with your team. This gives you a concrete basis for deciding on further implementation.
Further scope and pricing are agreed individually.
Book a free workshopKnow where data comes from and when a person needs to decide
Before launch, we identify sources for prices, product specifications and commercial terms, and define how to handle missing data and unusual orders.
For example, prices come from the ERP, specifications from the PIM, and an unknown trade product code stops the order and flags it for review.
Data from the right system
We identify the source of each price, stock level, description and order status.
Checks for gaps and discrepancies
Incomplete orders and product records reach a named owner with an explanation of the issue.
Human decisions on exceptions
We define which changes and unusual orders need review before proceeding.
E‑commerce and IT teams receive a clear description of what triggers the automation, what data it processes and where it reports errors.
Questions before the workshop
AI & AutomationA free workshop and a simple proof of concept automating one selected task, such as reading order lines from a file. Further work is discussed and quoted individually.
We start with your store, ERP and other existing tools, checking data access and how to deliver the result for the selected task.
Someone who knows the process in practice and someone responsible for its outcome. For workflows connecting the store, ERP, PIM or warehouse, an IT representative can also help.
Bring a task that regularly takes time, causes delays or requires corrections. In the workshop, we assess opportunities for improvement together.
This depends on the tool and its configuration. Before sharing data, we identify the provider, processing and storage locations, retention period and terms covering model training. Retrieving information from company documents and training a model are different operations. We check the specific service's terms before connecting a catalogue, inbox or ERP.
Before launch, we establish the processing purpose, necessary data, access rights and deletion rules. With your data protection contact, we check the legal basis, the parties' roles, provider agreements and any transfers outside the EEA. Exercises and tests use material without personal data; where personal data is necessary, we establish its conditions of use before sharing it with a tool.
Name the task you pay to handle manually every day
Copying B2B orders. Completing product pages. Checking statuses. Combining reports.
Start with one process. In the free workshop, we assess the opportunities, then prepare your first working automation.
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