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E-negotiator based on buyer's surfing pattern

Everyone likes to get the best price, but best price cannot be provided to everyone. This paper proposes an algorithm to provide the best price to the most prospective buyer. E-Negotiation will be based on buyer's activity pattern and surfing behavior. Unlike existing e-negotiation models proposed for B2C, B2B and C2C Ecommerce applications, where the intervention of buyer is present, this paper proposes a system to e-negotiate by just observing buyer's surfing pattern, without depending on his input. Surfing patterns such as sites visited and products surfed will tell the buyer's intention on purchasing the product. The amount of discount for negotiation is generated using a Fuzzy Inference System. Providing such a custom discounted price will motivate the buyers to make the purchase.