Now Reading: Govt seeks fairer rules for consultancy tenders
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Govt seeks fairer rules for consultancy tenders
The Department of Expenditure has asked government entities to avoid excessive turnover, experience and headcount requirements in consultancy tenders. Its review of three years of Central government tenders on the Government e-Marketplace found that such conditions could restrict competition.
The framework questions minimum turnover demands set at five to 10 times the assignment value. It recommends proportionate criteria, with an indicative average annual turnover of 200% of the assignment value, and allows start-ups up to 20% relaxation if they meet technical and quality requirements. A consultant must qualify on its own credentials, not those of parent or affiliate entities.
The Economic Times reports that technical evaluation may give 5% to 10% weight to firm experience, 20% to 50% to methodology and work plans, and 30% to 60% to key personnel. Mint reports the framework, issued on 22 July and now in force, could widen opportunities for specialised Indian firms, though ministries will decide its effect through individual tenders.
Indian Opinion Analysis
Both sources treat the changes as a response to restrictive tender design, but Mint gives greater attention to their possible effect on specialised Indian firms and the Big Four. The Economic Times focuses more closely on the procurement manual, eligibility rules and evaluation weights. Neither source suggests that scale requirements have been removed, and Mint stresses that large firms retain financial and operational advantages. The measured reading is that the framework changes the basis for competition, but does not guarantee smaller firms more contracts. Its effect will depend on whether ministries set proportionate thresholds and apply the new evaluation model consistently. Individual tenders are the key point to watch.
Coverage: 2 sources, 2 neutral
Sources (2): cfo.economictimes.indiatimes.com (neutral report), livemint.com (neutral report)
This story was synthesised by AI from the 2 sources linked above. Methodology and corrections.
