110333449 pricing model for infosys bpo limited
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8/11/2019 110333449 Pricing Model for Infosys BPO Limited
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Pricing Model for Infosys BPO limited.
Analysts estimate that while less than 5% of offshore contracts are currently outcome-
based, this trend will pick up in 2013. A!!"#$ estimates that 10% of total reenue
is comin& from outcome-based contracts'pricin& for the (ndian #utsourcin& (ndustry.
asscom beliees that the industry is be&innin& to moe beyond time-and-materialspricin&. About )0% of the industry*s total transaction alue now comes from fi+ed-
price deals irrespectie of the number of man hours spent. espite the outcome-
based model in prominence since last four years, the olume did not pick up in (ndia.
/his model is best suited for e+istin& clients and for new clients who hae a clear
understandin& of the model and in this models both endors and clients should ensure
that the scope of the en&a&ement and the outcomes are clearly defined.
/he success of this model lies in the understandin& of the customers business model,
operations and industry nuances and how to mana&e risk inoled at all sta&es. isk is
hi&h for the endors and they char&e premium and since they cannot wait for
payments till the business outcomes, only apportion of the reenues are bein& done on
the outcome-based pricin&. usiness outcomes are time consumin&. /he clients and
endors should hae a common basis for future alue creation and endors should be
clear as to how much risk he can bear and how well he knows his own processes and
business. #ther e+ternal ariables also hae to be taken into account and for the model
to succeed both the client and endor should hae a stron& and open relationship
between them so that they can achiee the planned common outcome. "ustomers
prefer such billin& models because they can keep their costs entirely ariable and
dependant on their own reenue &rowth.
Althou&h outcome based contract meant hi&h inolement between clients and
endors for efficient deliery of work. $any incenties could be obtained from price
based contract .(t also helped in cuttin& the costs as productiity and efficiency could
be achieed throu&h less number of workers. oweer it cannot be used due to
followin& reasons4
irstly (nfosys cannot rely on outcome based contract with eery client the
reason bein& simple, sometimes a pro6ect may re7uire lon& term till it can be
ealuated and its outcome alidated.
"lients and endors hae to inest more in understandin& each others business
in order to determine the proper leel of serice. /his is only possible if they
know each other well by terms of re7uisite and e+pected leel of serice.
8aluation of serice was directly related to the payment. Any hiccup in work
would directly result in losses. Also, it isnt easy to determine whether the
resources to be utilised will yield a &ood #(.
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(nfosys should lay its concentration on transaction based contract een thou&h
/8s based model has been impressie when the forecast is accurate.
/ransaction based contract would result in char&in& for the e+act number of
processes bein& handled simultaneously. (n transaction based pricin&, what and
how many resources are inoled and how much time is taken to 9rocess thetransaction while also meetin& 7uality and serice leel a&reement !:A
re7uirements, are the ;ariables that are typically mana&ed by serice proider.
/his essentially means that ariability and risk Associated with customers
business actiity is transferred to serice proider. !erice proider mana&es
this isk by utili? or for inoice processin&, the transaction price may be
7uoted as =y dollars per inoice>. oweer, since business actiity does not
remain at a constant leel throu&hout, there needs to be a mechanism which can
determine how the transaction price aries for different leels of business
actiity. /o address this, transaction price is &enerally mentioned as applicable
for a specified transaction olume ran&e. !uch a olume ran&e is known as@dead band which is typically deried by analy
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$akes it easy to compare and select serice proiders by comparin&
their per transaction price alon& with !:As
or smooth processin& of transaction based billin&4
"hoose the ri&ht transaction unit for pricin& the deal B one that ali&ns both
parties interests. or e+ample, in case of insurance, if the transaction unit is
@no. of policies issued, then the interest of serice proider and customer are
ali&ned - more the number of policies issued, more is the payment to serice
proider and more is the premium collected by the customer. As a&ainst this, if
the transaction unit is @no. of leads, then the interest of the customer and
serice proider are not necessarily ali&ned as more number of leads would
definitely translate into more payment for serice proider but may not
translate into more policies issued and thereby, premium, for customer. 8stablish a mutually a&reeable mechanism to address olume fluctuations. A
few such mechanisms could be4
efine an A"'" framework to handle olume ariations beyond the base
olume
Ad6ust the baseline olume periodically usin& aera&e olume e+perienced in the
past few months thus allowin& both parties to share the risk of olume uncertainty
and allowin& serice proider sufficient lead time to absorb olume fluctuations
A&ree for less strin&ent serice leels for serice proider if actual olumes
materially e+ceed those forecasted
A&ree on definin& and measurin& !:As durin& the initial phases of the
en&a&ement and use this data for base linin& them for the remainin& term of the
en&a&ement
9lan for a comprehensie chan&e mana&ement effort which includes top
mana&ement support, syndication of key stakeholders and end-user education
pro&rams.
8+ercise hi&h leel of transparency in sharin& data and details between the
parties to deelop an enironment of trust.