About Kontor AB

With nearly 50 years of experience and over 500,000 satisfied customers, Kontor AB is Sweden's first complete office supply warehouse. Founded on the principle of simplifying procurement for businesses, public sector organizations, and individuals, they offer a comprehensive range of office supplies, workplace solutions, and professional equipment.

From their headquarters, Kontor AB serves customers across Sweden with everything needed for efficient and organized work environments - whether in offices, retail spaces, industrial settings, or home offices.

The Challenge

Kontor AB faced a significant challenge common to many e-commerce retailers: suppliers providing minimal product data in inconsistent formats. With 5,700 products requiring comprehensive descriptions and specifications, the manual content creation process was overwhelming:

• Time-Intensive Process: Each product required approximately 30 minutes to research and write SEO-optimized content
• Inconsistent Data: Suppliers provided varying levels of product information in different structures
• SEO Requirements: Need for keyword-rich product descriptions and USPs for better search visibility
• Resource Allocation: Manual content creation was consuming valuable staff time that could be better utilized elsewhere
• Scalability Issues: Growing product catalog made manual processes unsustainable

The Solution

Kontor AB partnered with Cension to implement a comprehensive AI-powered content generation and product enrichment strategy:

• AI-Powered Content Generation: Automated creation of product descriptions and USPs tailored for SEO
• Advanced Product Enrichment: Web scraping and data aggregation to enhance limited supplier information
• Structured Data Creation: Generation of comprehensive JSON technical specifications for each product
• Keyword Optimization: Integration with Google APIs to identify and incorporate relevant keywords
• Scalable Process: Automated system capable of handling thousands of products efficiently

Product Enrichment Showcase

One of the key innovations in our approach was transforming sparse supplier data into comprehensive product specifications. Here's an example of how we enriched a coffee maker listing:

Kaffebryggare Coffee Queen M-2

Brand:Coffee Queen

Model:M-2 TK

Type:Professional Coffee Brewer

Capacity:4-12 cups

Output:15 L/h

Time:6 minutes

Challenge: Supplier provided only basic name and model number. Our AI enriched this into comprehensive technical specifications.

Generated Technical Specifications

coffee-queen-m2-specs.json

1 {

2 "productName": "Coffee Queen M-2 Coffee Maker",

3 "model": "M-2 TK",

4 "type": "Professional Coffee Brewer",

5 "design": {

6 "style": "Sleek, compact construction",

7 "suitableFor": ["cafes", "restaurants", "hotels"],

8 "userFriendly": true

9 },

10 "brewing": {

11 "capacity": {

12 "adjustable": "4 to 12 cups per cycle",

13 "maxOutput": "15 liters per hour"

14 },

15 "brewingTime": "6 minutes for full batch",

16 "temperatureControl": "ECBC standards compliant"

17 },

18 "features": {

19 "warmingPlates": 2,

20 "waterFilling": "Manual",

21 "reliability": "High volume brewing capable",

22 "durability": "Built for continuous use"

23 },

24 "dimensions": {

25 "width": "205 mm",

26 "depth": "410 mm",

27 "height": "428 mm"

28 },

29 "sustainability": {

30 "climateSmart": true,

31 "efficientBrewing": true

32 }

33 }

AI Enhancement Complete

This structured data enables precise keyword targeting, improved search visibility, enhanced filtering capabilities, and comprehensive product information for customers.

Implementation Process

The project was executed systematically over 24 hours, processing 5,700 products with comprehensive data enrichment and content generation:

• Data Collection: Automated scraping of additional product information from multiple online sources
• Specification Generation: Creation of structured JSON technical specifications for each product
• Keyword Research: Integration with Google APIs to identify 63,000 unique, relevant keywords
• Content Creation: AI-generated product descriptions and USPs optimized for search engines
• Quality Assurance: Automated validation and manual review of generated content

Results

The results exceeded expectations with massive time savings and comprehensive product enhancement:

• 2,850 Hours Saved: Eliminated 5,700 × 30 minutes of manual content creation work
• 63,000 Keywords Generated: Comprehensive keyword optimization across all product categories
• 5,700 Products Enriched: Complete transformation from sparse to comprehensive product data
• 24-Hour Delivery: Entire project completed in one day versus months of manual work
• Structured Data: JSON specifications enabling better search functionality and filtering
• SEO Enhancement: Improved search visibility through keyword-optimized descriptions
• Resource Reallocation: Staff freed up for higher-value strategic activities

Timeline