Distributive approach to negotiation used when the interested parties are attempting to divide something up or distribute something of value, also known as zero-sum approach or win-lose. Commercial situations often demand a distributive bargaining approach, if the 'pie' is inherently of a fixed size. In this case, any conflicts must be resolved by sharing it.
In win-lose approach, a negotiator wants to maximise the value obtained in a single deal, the relationship with the other party is not important. Therefore, a strong party may win more than 50% of the metaphorical 'pie'.
It should not be assumed that win-win can be applied to all commercial negotiations, or that win-lose approaches are inherently inferior.

Dynamic pricing is the practice of dynamically calculating the price of a product or service in order to incorporate real-time market conditions, input costs, and/or competitive perspectives. Dynamic pricing which is based on marginal costing, is used by airlines and many other organisations.
Marginal cost is the cost of producing an additional unit of output. Marginal Costing is a costing technique wherein the marginal cost, i.e. variable cost is charged to units of cost, while the fixed cost for the period is completely written off against the contribution.

Indirect costs are those cost that are not directly attributable to production. Examples of indirect costs including the following:
Indirect labour: This covers every person in the factory who does not directly perform a production operation such as managers, supervisors, engineers, store personnel,clerks, maintenance staff, porters, canteen staff, security and cleaners etc.
Expenses: Included in this element is every fixed and variable expenses incurred in operating the factory, such as rent, rates, utilities, insurance, depreciation, maintenance, air conditioning and the various types of energy generation required by a clothing factory.
Indirect materials: Also known as consumables, this element contains all the materials not directly connected to the makeup of a garment. Some of the typical items involved are office materials, spare parts, marker paper, maintenance materials, chalk & pins.
Direct costs are those costs of a product/service directly attributable/traceable to its production. Examples of direct costs including the following:
Direct Materials: Direct materials are all the materials and trimmings which go into the construction and finish of the garment. Typically, these materials would include cloth, lining, fusible, zips pads, tapes, labels, tickets, hangers and packaging materials.
Direct Labour: This cover the cost of all the labor directly involved in producing the garment and could include cutting, fusing, regular sewing, special machine operations, pressing, finishing, inspection and packing. Labor of all types and grade has a directoverhead which include holiday pay, sick pay, fringe benefits etc and the statutory payments made by the employer for each employee. This is usually expressed as a percentage of salary and when this percentage is added to the employee's wage, it becomes the basis for calculating direct labor costs.

There are 5 key phases of negotiation:
The opening phase: confirm understanding and get the issue on the table The testing phase: check assumption and confirm understanding The proposing phase:asking 'if' The bargaining phase: using tradeables The agreement and closing phase The testing could take the form of questions following a presentation by either side or questions on a tender or proposal document received by the buyer from the potential supplier. The testing phase is necessary to confirm that your approach and objectives are appropriate for the negotiation situation you now find yourself in.
Careful listening, observation and interpretation of TOP's responses may give indication of the following:
Areas where TOP is willing and unwilling to make concessions
What factors or issues TOP places a high value on
If there are any non-commercial or emotional factors that may be pertinent TOP's underlying interests - why they are taking the positionthey are.

Explanation
Macroeconomic indicators are statistics or data readings that reflect the economic circumstances of a particular country, region or sector. They are used by analysts and governments to assess the current and future health of the economy and financial markets.
Macroeconomic indicators will vary in their meaning and the impact that they have on the economy, but broadly speaking there are two main types of indicator.
- Leading indicators, which forecast where an economy might be heading. They are often used by governments to implement policies because they represent the first phase of a new economic cycle. These include the yield curve, interest rates and share prices.
- Lagging indicators, which reflect an economy's historical performance and only change after a trend has been established. They are used to confirm a trend is underway. These include gross domestic product (GDP), inflation and employment figures.
There is also the category of coincident indicators, but these are generally grouped in with lagging indicators as they either happen at the same time or after an economic shift.
The best macroeconomic indicator to watch will heavily depend on your personal preferences, what positions you are taking and which country your portfolio is focused on. However, there are some very common indicators that most traders and investors will keep an eye on.
For simplicity's sake, we have split these out into leading and lagging indicators.
Top leading indicators:
1. The stock market
2. House prices
3. Bond yields
4. Production and manufacturing statistics
5. Retail sales
6. Interest rates
Top laggingindicators:
1. GDP growth rates
2. The Consumer Price Index (CPI) and inflation
3. Currency strength and stability
4. Labour market statistics
5. Commodity prices
A procurement professional may find stock market data from the security exchange, whilemost lagging indicators (such as GDP, CPI, unemployment rate, currency and inflation rate, etc) can be found from government statistics data.