We want to build a website that has a database of several hundred company addresses, a postal code table with map coordinates (which we wil provide), and a product database with product information like size, weight, colour, price range etc.
The website is a one page application (using ajax) that collects information from a visitor by a dynamic webform and sends a request for quotation to 5 selected companies.
Visitors of the site fill in their postal code and submit. The page then expands to a wizard that asks a few questions about the visitors preferences in selecting the right product (size, weight, colour, price range etc). The application then looks in the database and selects the nearest five companies based on the postal code table, that also are able to provide the selected goods.
Visitors can then select the companies by using check boxes and click on a button 'request quotations'. This will epand the form with more fields where they have to enter addres, phone, email and name info. When they submit this form, a page shows them all the information they have entered and offers the possibility to edit or send.
When the visitor clicks send, the selected companies all receive an e-mail containing the request for quotation and the visitor receives a confirmation page and confirmation email.
In the back end each request for quotation is saved and coupled to the companies who received them for billing purposes. The companies need to be able to log in and see all their quotation requests and the associated costs.
The website owner needs to be able to log in at the back end and oversee all visitor activities (partially) filled in forms, quotation requests generated in total and per company.
We are looking for a very professional party to programme the website. Graphic design and css/html may be included, but we may also provide you with a PSD and flow chart only. The site has to be in W3C Valid XHTML 1.0 Strict Table-less CSS markup under SEO Semantic Coding using Complete Presentational Separation techniques with Special attention to Load Speed optimization.
example website: [login to view URL]