Check and analyse your pig slaughter returns to enable you to generate an additional 5p/kg income.
BaconCheck helps producers maximise the value of their slaughter
pigs.
It also compares contracts highlighting which
one will achieve the highest income.
BaconCheck
will also inform site managers how they are performing and assist
in improving income.
Ensure each slaughter load is priced correctly, allowing for your contract specification and appropriate deductions.
Instant analysis of slaughter loads across different contracts showing which of one would have achieved the maximum value for the producer.
More InfoHigh level reporting and monitoring of your slaughter loads, selectable by date, processor or growout.
Do you ever wonder if the slaughter return for
each load has calculated the price correctly? If so it’s not
surprising - complicated specifications, deductions that aren’t
clear, additional penalties that seem to change for unknown
reasons.
LoadCheck enables you to check your slaughter
return data, whether it arrives in the form of a pdf Remittance
Advice or as raw data (e.g. csv or text file), you just drop it
onto the BaconCheck website and we’ll carry out the checks for
you, ensuring the matrix and deductions have been applied
correctly.
If the return is correct you accept the load
and we’ll store all the data for you so that additional analysis
can be carried out as and when required.
If your return
doesn’t match the expected value we’ll provide a simple report
indicating the discrepancies allowing you to query your
processor.
This gives users the ability to compare you loads
against each one, getting the right pigs on the right contract
can make a significant difference to your bottom line.
ContractCheck
analyses your slaughter loads against each contract, showing the
value achieved for the actual contract the pigs were slaughtered
on and the different price that would have on you other
contracts.
This calculation can be carried out over any
specific time period and with any contracts.
It is also
possible to use this page during your contract negotiations -
just copy the contract you are on and alter the matrix to fit
what you are being offered and then compare your loads on both
matrices, quickly seeing which contract offers the better value.
Using up-to-date analysis techniques; taking into
account the correlation between weight and fat depth; the
physical performance associated with the site; feed price and
overhead cost we calculate the deadweight which would have
generated the best return for that load. As the number of pigs
analysed builds up users will get a better picture of what weight
their pigs should be slaughtered and also what they need to do to
be able to increase their returns.
It also allows you
to view or sort information based on criteria set by the you, so
if you always want to see the data sorted by slaughter weight,
you can or by price, or processor etc. the choice is yours.
In addition to that if you require a report on all loads from
grow out A to processor B, between set dates is needed, these
criteria can be set and the report will gather the relevant
information and show it on the screen in a format that can be
exported if further analysis is desired.
The idea was born out of frustration over the
quality of information available to pig producers regarding their
main source of income, namely their bacon pigs. The information
on these animals is normally rather sparse and difficult to
analyse effectively. Also the slaughter contracts most producers
are paid on tend to have a degree of complication that means that
verifying the payments can be very time consuming.
This lack of clarity has lead us to produce BaconCheck - a
simple, easy to use, web based programme that does most of the
hard work for you, whether it is, verifying your payments,
finding out what weight would generate the best return for each
site and each contract, establishing which contract is best for
you taking into account fees, haulage and deductions, or seeing
your loads on a single easy to manipulate page.
We shall continue to adapt and develop the programme to cope with
changes to contract specifications, new statistical analysis,
improved graphing, etc. ensuring producers can continue to
maximise their returns.