The challenge
Yangtze Chemical manufactures adhesive resins, silicone sealants and construction chemicals in Kampala's Industrial Area. Its products end up in footwear, bags, furniture, electrical appliances, cars, packaging and electronics. Its range spans several product families and brand lines, from weatherproof and anti-mildew silicone sealants to packaging adhesives, PVC pipe cement, cyanoacrylate glue, wood glue and polyurethane foam. It sells to manufacturers and contractors in Uganda, across East Africa and into export markets.
Its buyers are not browsing. They are procurement officers, production managers and contractors who choose a supplier on technical fit: chemical base, curing behaviour, bonding substrates, temperature and weather resistance, pack sizes and the standard each product is made to. Marketing copy doesn't move them. Specifications do.
Yangtze's existing materials weren't built for that kind of evaluation. Product information was inconsistent from item to item and hard to compare. It didn't scale across a large and growing catalogue. Each new product made the problem worse. Buyers who couldn't quickly confirm a technical fit either contacted the team with basic questions or moved on to a competitor whose data was easier to find.
The approach
Discovery focused on two questions:
- How do technical buyers evaluate a chemical product? What specifications, standards and application details do they need before they shortlist a supplier, and in what order do they look for them?
- How should a catalogue grow? What data structure can absorb new product lines, brands and variants without turning into an unmanageable list?
From there, NASDAN set three principles:
- Specification first. Every product page leads with the technical data buyers use to decide. Marketing language comes second, if at all.
- One data model, every product. Each product follows the same structured template of category, application, properties, standards and packaging, so buyers can compare products easily and the catalogue stays consistent as it grows.
- Built for regional and export buyers. Clear information, a simple layout and direct enquiry routes serve a buyer in Kampala and a distributor abroad equally well.
The solution
NASDAN built an enterprise B2B platform around structured product data.
- 01 · Structured product catalogue. Products are organised by family and brand line, such as silicone sealants, specialty adhesives and construction chemicals, so buyers can find the right category quickly.
- 02 · Technical specification pages. Each product presents its properties, applications, compatible substrates, standards and packaging in a consistent, easy-to-scan format.
- 03 · Industry-led navigation. Buyers can approach the catalogue from their own industry, such as footwear, furniture, appliances, automotive, packaging or construction, and see the products relevant to them.
- 04 · Direct B2B enquiry routes. WhatsApp, email and phone enquiry options sit alongside each product, so a buyer can go from specification to conversation in one step.
- 05 · Scalable data architecture. A structured database behind the catalogue means new products and brand lines are added through the same model, with no redesign and no inconsistency.
The results & impact
Yangtze Chemical now presents its catalogue with the technical depth that regional and export B2B buyers expect. Buyers can confirm technical fit on their own, which shortens the path from first visit to qualified enquiry. Yangtze's sales team spends less time answering basic specification questions and more time on serious buyers.
Because the catalogue sits on a structured data architecture, it scales with the business. Each new product line strengthens the platform instead of complicating it.
"Industrial buyers don't buy adjectives. They buy specifications. We built Yangtze a catalogue that answers the technical questions first, so the sales conversation starts further along."
— Daniel Nasasira, NASDAN
Why it matters
- Specifications sell. Presenting technical data clearly is the most persuasive thing a B2B manufacturer can do online.
- Consistency at scale. One data model keeps a growing catalogue easy to compare and easy to manage.
- Made in Uganda, ready for export. A Kampala manufacturer presented to the standard regional and international buyers expect.
