B2B platform for retail chains
Sustainable collections built on data, not declarations
evorio brings supplier catalogues, collection building, samples and sourcing into one place. Every product gets a Sustainability Index from day one, and AI suggests similar products, alternative suppliers and the quality risk of each sample.
Example product · hoodie, organic cotton
Air freight lowers the score.
- Materials56/6565%
- Logistics9/2020%
- Production8/1010%
- Packaging3/33%
- Samples2/22%
value predicted by the ML model
The information gap in collection building
Buyers and designers choose materials, suppliers and transport without seeing the environmental impact of those choices. PLM and ERP systems measure cost and time. ESG analysis happens after the fact, when the collection can no longer change.
Impact invisible at decision time
Materials, suppliers and transport are chosen by cost and lead time. The footprint has no number.
No KPI for the board
There is no tool to set, track and review sustainability targets across the collection.
A report when it is too late
Missing data arrives over weeks, so the assessment comes after the buying decisions.
Consumer pressure
Customers expect transparency about origin, composition and impact.
Regulatory pressure
The European Green Deal, CSRD and the EU Taxonomy require non-financial data.
Market pressure
Access to capital and trading terms depend more and more on ESG performance.
Four modules, one data flow
Catalogue data feeds the Index, the Index and attributes feed the AI recommendations, and buyer decisions and quality results train the models. Each new product reaches every module in under a second.
Supplier catalogue and collection building
Suppliers publish their offer in a standard format or import it from Excel. Buyers see one list from all suppliers and add a product to the collection in one click.
Catalogue, dictionaries, import, collection Module 2Sustainability Index
A 0-100 score for every product across five pillars. An ML model predicts missing attributes, and the Index recalculates with every change to the product or supplier.
Index, product dashboard, ML prediction Module 3AI sourcing
Similar products from descriptions and images, similar suppliers when sending requests for information. Faster diversification and a stronger negotiating position.
Product and supplier similarity Module 4Digital samples and quality risk
Remote review of samples from photos and media. A model rates the risk of rejection, so physical samples are ordered only where they are needed.
Digital samples, risk, quality controlFrom supplier offer to buyer decision
evorio takes each product through the whole collection process. At every step the buyer sees how a decision affects sustainability and risk.
- OfferThe supplier publishes products in the evorio catalogue
- ScoreThe Index is calculated at once, the ML model fills the gaps
- CompareSimilar products and suppliers with a better Index or price
- SampleDigital sample and quality risk score
- CollectionThe product joins the collection with a full decision history
Results proven in testing
KPIs from the validation tests of the R&D project, on a configuration sized like a large retailer: 41,263 products, 2,094 suppliers, 15,099 catalogue items and 21,126 samples.
| KPI | Target | Result |
|---|---|---|
| New product available in every module | < 1 min | < 1 s |
| Missing-attribute prediction accuracy (F1) | min. 70% | 74.5% |
| Sample quality risk accuracy (F1) | min. 70% | 72.6% |
| Product similarity, error versus expert rating (MAPE) | < 35% | 32.2% |
| Supplier similarity, error versus expert rating (MAPE) | < 35% | 29.4% |
| Import of 1,000 catalogue items | < 60 min | 3 min 37 s |
| Risk scoring for 1,000 new products | < 15 min | 15 s |
| Usability rated by users (SUS, 15 people) | > 75% | 91% |
Who it is for
evorio works where the collection is made: in buying, product development, quality control and at the suppliers.
Buyers
One list of offers from all suppliers, Index and risk next to every product, alternatives in one click.
Product teams
Full data on materials and origin, variant comparison and sample review without waiting for shipments.
Quality controllers
Review of digital samples, comments, approval, and a physical sample only where the risk is high.
Suppliers
Their own catalogue, Excel import, offer publishing and digital samples in one portal.
Technology and integrations
SaaS on Microsoft Azure, ready for your systems
evorio can run the whole buying process or just part of it, integrating with the retailer's systems everywhere else.
- ERP integrations (including Microsoft Dynamics 365, SAP, Oracle Retail), WMS and BI
- Reporting in Power BI through Azure SQL
- Catalogue import from Excel and an API for suppliers
- Microservices and events: every change recalculates the Index and recommendations
- Machine learning models in Azure Machine Learning, retrained on your data
- Hosted on Microsoft Azure, HTTPS, GDPR compliant
Implementation
A first version in about 20 weeks
- Analysis and setupDictionaries, product hierarchy, Index weights for your segments
- Integrations and dataERP, supplier data, sample history for model training
- Testing and trainingAcceptance tests and key-user training