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India Inc’s efficiency gains face a GST test. Can they rebound amid weak demand?

Analysts can connect the transition to the transition to two -table goods and service tax structure, as companies pay higher GSTs in their old stocks, but they sell at a lower rates.

Despite short -term setbacks, artificial intelligence and supply chain automation promises another leap in operational efficiency after a significant return in the last decade.

A Mint The analysis of the data obtained from the Indian economy monitoring center shows that non -financial companies have reduced the net working capital cycle from 75 to 50 days between FY16 and FY25.

Indian companies are now transforming raw materials from much faster sales than nine years ago-According to the long-standing, the government’s three-way tax reforms, infrastructure upgrades and mass digital adoption.

While briefly reversed these gains with supply shocks, companies have healed since then.

The analysis is based on a rolling example of companies, and the latest data is compared to approximately 3,000 in other years covering 1.117 companies.

A sectoral analysis shows the gains of textile, automobile, electronic and machine -led working capital cycle in the basic production sector. In the service sector, health, hospitality and transportation and transportation, the sharpest productivity gains in the last decade.

However, in a relevant note, the operating capital cycle of the consumer goods sector was 65 days in the 25-year-year 25 financial year, which was over 40-day goods, which showed that consumption in India has not yet recovered from the COVID-19 pandema.

Opening the lock of sectoral earnings (group rods)

A pandemic leap

During the 18 FY18 and FY19, the government noticed most of the productivity gains in the pandemic period, as it applied the first GST reform wave during the FY19.

Initially, although it was destructive, Vector Consulting Group partner Ankush Sheth said that measures such as Input Tax Loan System improved cash flow transparency and predictability in the supply chain.

Moreover, with a stronger financial position, the government began to commit tax refunds faster, helping companies to open more cash, PWC Added Bancenen BANERENE, a joint and economic advisory leader in India.

This resulted in a faster reimbursement cycle throughout the supply chain, and the Indian Inc has reduced the collection and repayment cycles of the India for a week between 16-19 fiscal years.

In addition, the government’s infrastructure improvement efforts have resulted in raw materials faster and faster distribution of finished goods throughout the country.

Corporate India has also gone through a major digital transformation after PANDEM, allowing companies to monitor the inventory in real time, optimize supply chains, and ultimately reduce their production time.

Corporate expenditures for technology have increased about four times since 16 financial years and provided a dramatic improvement in operational productivity. “This was turned directly to keeping less stock and faster payment, which is the essence of a shorter working capital cycle.”

AI Working Gains

Sheth expects the next wave of productivity improvements to be strengthened by artificial intelligence, because companies redesign the supply chains to work faster and more simple with real -time agility.

Platforms that work with artificial intelligence, added that it would predict the supply chain cuts more accurately, mark the possible machine failure and even predict the goods finished dynamically based on real -time sales speed and inventory.

This expects raw materials to eliminate large buffer stocks, prevent them from closing unplanned production line, and maximize cash recovery from finished products and significantly reduce their return time during the production cycle.

“As artificial intelligence becomes more accessible, the adoption will spread to the organized sector and will begin to reshape the gains of working capital cycle by 2030”. “Semi -autonomous supply chains may become an industry standard for both large and medium -sized companies in the new decade.”

However, RBL Bank’s chief economist Anitha Rangan said that such productivity gains may not initially be seen in India. Automation, such as automobiles, high -level electronics and heavy machines, expects these gains to realize these gains faster than the labor -intensive sectors.

The PWC predicts that consumer sectors such as Bannerjee, consumer strengths and fast -moving consumer goods (FMCG) will benefit the most from the AI.

These sectors work on fine margins, balance complex product ranges and high volumes and rely on quality for brand acceptance. Therefore, every gain in productivity is vital for their profitability, ”he said.

Short -term pain, long -term gains

Analysts said that the current work of the current weak consumer demand can delay productivity gains because of the companies’ work confidence in the work confidence.

In the 29 August report, Nuvama Corporate Stocks reduced their expectations for all BSE-500 companies by 2% in the 26-fiscal year following their first quarter (April-June) earnings.

Aractivity analysts expects to remain weak in 26 fiscal years due to US tariff pressures, fewer government expenditures, fragile household revenues and warm loan growth.

Although RBL Bank’s Rangan has seen the weak demand finally seeing the inventory pile of postponed purchases, the GST rationalization plan could prolong the working capital cycle of the India Inc and increase its difficulties in the short term.

Rangan, “Consumers, until the proposed changes enter into force textiles, shoes and electric strengths will delay the purchase of the purchase,” he said. “However, this will simplify rationalization operations, end the loss of input loans in sectors and increase the efficiency over time (India Inc).”

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