You will get Retail Data Cleanup & Structuring for ERP Readiness
Project details
I help businesses fix messy and inconsistent product data by structuring it in a clear, scalable way.
When data comes from multiple sources (Excel files, suppliers, systems), issues like duplicates, inconsistent naming and poor categorisation are common. These problems affect reporting, inventory accuracy and system performance.
Rather than just cleaning data, I focus on structuring it properly so it becomes consistent, usable and ready for ERP systems, automation or decision-making.
My approach is practical and based on real retail experience. In one project, I reduced a dataset from ~8,000 to ~2,000 SKUs while retaining ~80% of sales, significantly improving clarity and efficiency.
This service is ideal if your data feels disorganised, inconsistent or difficult to use across systems.
When data comes from multiple sources (Excel files, suppliers, systems), issues like duplicates, inconsistent naming and poor categorisation are common. These problems affect reporting, inventory accuracy and system performance.
Rather than just cleaning data, I focus on structuring it properly so it becomes consistent, usable and ready for ERP systems, automation or decision-making.
My approach is practical and based on real retail experience. In one project, I reduced a dataset from ~8,000 to ~2,000 SKUs while retaining ~80% of sales, significantly improving clarity and efficiency.
This service is ideal if your data feels disorganised, inconsistent or difficult to use across systems.
Project Type
Business ConsultingWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Data Scope
(+ 2 Days)
+$200Frequently asked questions
About Gladys
Retail Data Structuring for ERP Readiness | Assortment Optimization
Santa Cruz de Tenerife, Spain - 1:56 pm local time
how their data and assortments are structured.
With over 20 years of experience across retail operations, category management and supply chain,
I’ve seen the same pattern repeatedly:
Companies invest in systems, automation and data…
but the structure underneath is not ready.
The result:
– over-complex assortments
– inefficient replenishment
– unreliable reporting
– systems that don’t reflect real operations
My work focuses on structuring retail data before systems are implemented.
In one project:
– reduced from ~8,000 to ~2,000 SKUs
– retained ~80% of total sales
– created a scalable foundation for ERP and automation
This is not theoretical.
It is operational and measurable.
What I do:
– Retail data structuring for ERP implementation
– Assortment optimisation
– Product master data alignment
– Data readiness assessment (Struk2Go® approach)
How I work:
Review of your current dataset
Identification of structural issues
Data restructuring and simplification
Re-evaluation based on clear criteria
If your systems are not delivering the expected results,
the issue may not be the technology.
It may be the structure behind it.
Steps for completing your project
After purchasing the project, send requirements so Gladys can start the project.
Delivery time starts when Gladys receives requirements from you.
Gladys works on your project following the steps below.
Revisions may occur after the delivery date.
Review Data & Scope
I review the sample dataset, data source, size and objetive to identify key issues and confirm the project scope before startint.
Clean & Structure Data
I identify duplicates, inconsistencies and structure gaps, the clean and organise the data usin clear naming and category logic.