B2b Credit Application: Fill & Download for Free

Pricing - What pricing are you willing to goIt’s standard to sell wholesale items at 2.5X your manufacturing costs. This wholesale price is usually about half of what the end customer pays, as it’s generally a safe assumption that the retailer will mark up their cost by 2X when pricing your product for customers.It’s also common to offer a “suggested retail price,” so you can be sure you’re offering a price that makes sense for you, the retailer and the customer.2. Setting up Minimum Order Value for RetailersYou should always define the minimum order value for your retailers. My suggestion would be to keep it in between $300 to $600. Of course, depending on the individual products you have to keep the minimum order value number.For example:For first time customers of Laurence the minimum order value is $600. New customers will be placed on Proforma until such time that total orders invoiced is over $3000. Once customers have reached the $3000 expenditure they will be placed automatically on 30 day net account providing they have completed a credit application form and have been approved by Laurence.3. Create wholesalers terms and conditions agreement for retailers.Here’s a quick guide on how to create one. Wholesale Terms and Conditions Template - Download Editable Document4. How to get Retailers.This is the toughest part while you are going for wholesale.A. Reaching out to retailers in person - find the retailers who sell similar goods and reach out to them in person, or phone call or via email.B. Explore B2B marketplaces: Internet is expanding rapidly and many retailers are ordering products online via b2b marketplaces.Sign up for the trending marketplaces and show case your products.Some good b2b marketplaces would beIndia mart - http://indiamart.comAlibaba - Find quality Manufacturers, Suppliers, Exporters, Importers, Buyers, Wholesalers, Products and Trade Leads from our award-winning International Trade Site. Import & Export on alibaba.comTrade India - Indian Exporters, Manufacturers, Suppliers Directory, B2B Business DirectoryOnline B2B Marketplace - TradeFord.comFew links which can be handy to youBest B2B Marketplaces in India That Can Help You Grow Your BusinessBest B2B Marketplaces in China | China B2B MarketplaceC. Have your own B2B eCommerce platform: Where retailers can come and sign up with you guys.5. Competitor ResearchYou got to find what other competitors are doing.Knowing your enemy is important in any war, and the same goes for a business environment.A trading and distribution company is not a unique one by any definition of the term. You WILL have competition, and good companies acknowledge that and learn to thrive in such an environment.Here are some things you can do (ethically) to understand your opponent:A. Google AlertsB. Buying and Sampling their ProductsC. Find your Niche6. Stay up to dated with industry trends by subscribing few good news letters etcGood articles for reference:How to Start A Distribution Business 101 for Millennials (in 2017)Wholesale Business - How to Sell Wholesale to RetailersA guide to successfully selling your products wholesale to retailers

Looking at Dun & Bradstreet (company) specifically, I would say that a large proportion of their data quality is dependant upon each countries corporate reporting laws...as an example, within the UK, a large majority of businesses must report their financials for public inspection. On the other side of the spectrum an entity in India may have less stringent reporting methods.D&B will typically use any public information & then use other data collection methods to assist in providing a more robust view on their creditworthiness. Such examples of this would include trade information...this is a data exchange program whereby large trade suppliers provide their debtor ledgers to D&B in return for services.By accessing vast amounts of debtor ledger information, D&B can gain a unique insight into the payment habits of companies. By overlaying this with their financials & any other information gained through interviewing the CEO, CFO or COO they can make a fair assessment on their current credit risk to a potential supplier.As Ian McCullough pointed out, the Duns number is a great marketing tool for D&B, especially in the US & other countries where it is mandatory for your organisation to have a Duns number before working for any Government agencies.Looking at Dun & Bradstreet in the US, there is a great awareness of credit reputation & it's direct effect on business, this focus has only been magnified more by the GFC & as a result it has helped D&B solidify it's position in the US as the market leader. I would go so far as to say that in the US having a Duns & being rated by D&B is a positive acknowledgement of businesses reputation.I am unable to comment on the accuracy of other providers but I would guess that your decision to use any provider would fall down to a number of points, these being:1 - Speed of Service - can they meet your supply chains ideal timeframes for approving credit applications?2- Reliability - ultimately, some major business decisions are being made as a direct result of the credit risk & rating. With this in mind, does your credit risk provider have a reliable & accurate scoring model that you can put your trust in?3 - International / Cross border capability - with globalisation becoming more prevalent, can your credit risk provider provide a standardised ratings on a cross-border basis? D&B's Duns number linkage & hierarchical Identification of group structures is also a big asset for credit risk assessment...being able to identify a subsidiary or parent in distress can certainly provide a strong effect on a credit rating & hence your decision to provide a line of credit.Group Identification by Duns Linkage can be critical...especially for manufacturing & resource based companies. Quite often subsidiaries or group companies provide key services or products for each other...how would the failure of one of these key parts of the supply chain within a large group affect your customers operations & financial position??4 - Tech - Do they have a platform that can be leveraged for automated credit decisioning wherever possible? Does your technology platform require any costly upgrade to integrate the decisioning tool?5 - Product - Dun and Bradstreet have a variety of credit risk products that cater to differing levels of credit risk. As such they can offer an appropriately priced solution that meets varying levels of credit risk investigation6 - Price - This will invariably come into the discussion. Price is only an issue if value cannot be demonstrated. I have not seen the approach before by Dun & Bradstreet sales people but it would be of great use to review a prospective clients bad debts for the prior two years & then match that against a rating decline to understand just how much could have been saved by identifying a "high credit risk" in advance of them going into financial distress.7 - Associated services - This is where Dun & Bradstreet excel. Their collections process is extremely slick. As a potential customer, their collections capability provides real "clout" when seeking to recoup monies owed. with a full service offering there is also the opportunity to bundle pricing for customers & maximise savings.If we are to look at B2B Data for Marketing/Sales, I would rather recommend Linkedin as the primary research tool as opposed to credit risk data sets...simply put, a credit risk database is built to understand risk. As such, the only contacts available are usually within procurement or the credit department. With people moving around more these days, the contact information you get will likely be out of date anyway.Asides from Linkedin, I would also recommend a good old "googling", this is very useful when trying to find senior level prospects.I would like to point out that my experience with D&B ended in 2010 when I left the business to pursue a new venture. They were a wonderful employer & provided me with very many great career opportunities!

First, I assume that by saying ‘after machine learning etc.’, you do not mean that ML, big data and algo trading will be gone. All of these will no doubt stay, though of course they will continue to evolve. I expect a wide propagation of methods based on Reinforcement Learning (RL) in most of areas of quantitative finance both within trading applications, and for other applications such as credit and market risk management. Conceptually, RL offers a kind of a paradigm shift, where the focus of a model is not on the predictive power and ability to predict the future, which is an auxiliary task, but rather on optimization of actions (trades, adjustments of hedges, loan approvals, etc.), which is a prime goal. ML, RL, and NLP will continue to evolve and be more widely applied to the management of both the B2B (commercial) and B2C (consumer) credit risk, such as customer acquisition and management of risk of credit cards, mortgages, auto- and student loans etc.On the other hand, I expect that RL itself will continue to evolve as well. Many RL methods currently available from robotics or video games are not well suited for financial applications, as they either are not robust when dealing with noisy data, or do not allow high enough dimensionally of the state-action space, or both. Most of practically interesting financial applications of RL need both robustness under noisy data, and an ability to work with a very high dimensional data. One promising approach to high-dimensional RL with noisy data is G-Learning which can be interpreted as entropy-regularized Q-learning. First financial applications of G-Learning for tasks of portfolio optimization and market modeling are suggested in this paper: Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy (Or, How We Learned to Stop Worrying and Love Bounded Rationality) by Igor Halperin, Ilya Feldshteyn :: SSRN.I expect that further progress will be due to emerging of approaches that combine flexibility of ML with more general principles of statistical learning theory a la Vapnik, as well as different physics-based methods that appeal to ideas of symmetries, analyticity and universalities of complex systems. One example of usefulness of this approach is given in this paper: 'Quantum Equilibrium-Disequilibrium': Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons.