"The Power of Availability: Doubling/ tripling your
profits without additional investment!"
In retail companies dealing with personal care, house hold
products, fashion products etc, the usual tirade by Sales to increase sales
emphasises the need for better product, lower prices, more spend in marketing /
awareness, more trade schemes or credit increase to distributors. Interestingly
all these require additional investment and are in the responsibility areas of
other functions.
Surprisingly companies, whose market shares are less than
15%, project a sales growth very close to the market growth. Why not more than
double the rate of market growth? The reasons provided usually include 'There
is no more demand for our product' and that trying to create this demand
requires a huge investment (as stated in the above para) which will make the
initiative unprofitable.
'There is no more demand for our product'- then how come the
market share is 15%? It should have been over 80%. Somebody else is selling the
rest 85% hence demand is not the issue.
Can a company increase sales substantially without
additional investment? One of the most attractive options is to address lost
sales due to unavailability at the retail shops. Obviously one needs to check
if the lost sales are substantial and if they can be addressed without
additional investment.
Consider case of a company with more than 50 SKUs, and
market shares less than 20% and good acceptable competitive quality product.
Most well known FMCG and fashion product companies would fall in this category.
The extent of lost sales in any area can be estimated to
very close to the stock-outs in the supplying warehouse such as a distributor.
The check is very simple-take the snapshot of stocks at times spread across 2-3
months and compare the same with the products that the company has in its range
and those sold by all other competitors in the area (and not with what Sales
indicates as the saleable range). The snapshot will indicate random stock-outs
and range thinner than that held by the company. You can draw your conclusions
of the potential lost sales.
But the lost sales is much higher that this first indication!
The chances of retailer not pushing other brand in case the company's product
is not available are very low. The potential loss for him is not only the sales
loss for this product but the whole shopping list of the customer if the
customer decides to switch shop. Obviously he cannot afford such a loss and
hence will push hard other brands. Such lost sales are not reported by the
retailer as he did not lose sales. The damage is catastrophic if the
unavailable SKU is priced higher than its competitors. If the customer believes
the influencer (retailer) and has a good experience, he has discovered a lower
priced product with the same quality/ taste/ experience. Word of mouth will
further increase this damage.
What about the shops which do not carry the company's
products at all? Not all companies have distributors to cover the whole
universe of potential shops.
If the forecasted quantity is sold earlier, in say 15 days,
instead of the month, Sales declares either 'sold out' or forecast met. The
flip side is that sales lost are nearly 100% for the period, as the rate of
sales has increased.
The common approach adopted by companies to avoid this lost
sales is to 'dump' distributors and retailers with very high stocks. It also
serves the purpose of 'locking the capital' of these entities to prevent him
from buying other brands.
This approach further increases unavailability and lost
sales!!!
Forecasts can never be accurate. With the dumping and forecasts
rarely being accurate the distributors/ retailers' capital gets locked in the
higher than required stocks of few SKUs. Resultantly, he does not have cash to
buy the stocked out SKUs (indicated by the usual pleas for allowing credit
limits overruns or stoppages of supply due to high over due). The stocked out
SKUs are items which sell, and SKUs which sell are fast movers!!! We have
already discussed the huge damage of random stock-outs at the retail stores.
These forecasts are converted to monthly production plans.
Plants produce in large batches to achieve the highest productivity. With the
pressure to dispose the finished goods produced as fast as possible, the material
is allocated to sales people who predicted their requirement. The way out for
sales people- Dump irrespective of the sales trend.