Quick Answer: GeM ongoing bids reward filter discipline more than volume, because only a small share of the live feed matches an MSME's category, geography and capacity. A seller who filters against those three dimensions from Day 1 protects the drafting time for bids that can be won. The discipline is a habit built over the first two months of active bidding.
Whether to filter or chase every GeM ongoing bids tender is a question every MSME bidder faces in the first month, because the chase-them-all instinct comes from a reasonable fear that filtering will miss something important. The seller reads forty tenders across the raw feed, discovers on Friday that only two of them were realistic. By Monday the seller has neither shortlisted the two carefully nor had time to draft them properly. Sellers reading the eight-hours-to-thirty-minutes GeM tender search discipline recognise this pattern by the second month, because the alternative to filtering is not comprehensive coverage but exhausted coverage.
This article works through the reasoning behind filtering, when a temporary chase is defensible, plus the structural traps that push MSMEs back toward unfiltered reviews. Sellers reading which GeM tenders deserve a spot on the shortlist already apply the four-signal test at the shortlist stage. Filtering is the step before shortlisting where the biggest time savings compound over a quarter.
What Chasing Every Bid Actually Costs a Small Bidder
Most bidders never calculate what an unfiltered GeM ongoing bids review actually takes from the business. A morning that opens forty tenders across the seller's broad category takes at least three hours before the seller even reaches the reading step. Of those forty, five might survive triage into the shortlist. The other thirty-five consume reading time on unrealistic tenders. Filters compress seventeen hours of weekly triage to forty-five minutes.
The compound cost surfaces on the drafting side of the workflow. Triage time comes out of drafting time on strong bids. A bid that gets seven hours of drafting when it needed ten loses on pre-qualification and on evaluation criteria. The unfiltered review erodes both ends of the workflow at once: it uses discovery hours that could have shortlisted better tenders. It uses drafting hours that would have made the surviving bids stronger.
Three pain points show up consistently across MSME bid teams chasing every GeM ongoing bids tender: Decision fatigue arrives by the twentieth tender. A capacity-versus-opportunity mismatch surfaces at thirty tenders opened for three the team can resource. L1 race anxiety pushes the bidder toward crowded bids that feel safer than filtered ones. ClearBid's PQ & Eligibility Criteria Match compares the seller's business profile to the tender's PQ criteria and returns a score of Strong, Moderate or Weak. This converts thirty subjective calls into thirty numeric reads. Sellers following the first-bid GeM playbook pair the score with a parallel bid cap that keeps the queue honest about actual drafting capacity.
Where Filtering GeM Ongoing Bids Wins Over Chasing
Filtering wins because the fit between an MSME's category and the live GeM ongoing bids feed is narrower than most sellers expect. The fit narrows further once geography and value range enter the picture. A hardware business with three product codes typically sees six or eight relevant tenders. A furniture manufacturer sees three or four; a niche laboratory-equipment seller one or two. Filtering brings the seller to relevant tenders in twenty minutes rather than three hours.
The filter set that does this work is not exotic and does not require third-party tools to build. Category, geography, value range and closing date sort narrow the raw feed. The GeM portal exposes these filters natively. Understanding how to check tender on GeM at the filtered level takes a session to set up, then twenty minutes each morning. ClearBid's Tender Search reads the live gem.gov.in feed and returns results sorted from the nearest closing date to the furthest. The seller sees the tenders with the tightest windows before the ones with more time. Sellers following the GeM ongoing bids daily discovery workflow save the compounding time-savings that unfiltered chasing gives away over the year.
When Chasing More Than Filtering Actually Makes Sense
Chasing every GeM ongoing bids tender beats filtering in three specific situations. A first-time MSME benefits from a wider set of GeM ongoing bids tenders in the first fortnight, because filter thresholds without reading history are guesses. A seller entering a brand-new category benefits from a two-week chase. A rich publication window such as a fiscal quarter close justifies a temporary funnel widening.
The correct behaviour is to chase deliberately for a defined period with the intent to build filters. Understanding how to open tender in GeM efficiently during a GeM ongoing bids calibration means reading fast and folding notes into the filter set. ClearBid's Tender Summary compresses each read from the one-to-two hour manual read to a single-page view. Sellers deciding when a GeM bid is worth their time use the calibration output as input to the shortlist test rather than as a substitute for it.
Structural Traps That Push the Wrong Bids Into a Chase-Them-All Mindset
Four structural patterns push MSME bid teams back toward chasing every GeM ongoing bids tender. These structural quirks push even disciplined sellers back toward chasing: These are not user errors; they are structural quirks of the platform that the experienced bidder learns to work around, usually after losing a tender to one of them.
- The wrong-category tender: Buyers occasionally publish under a parent category when the right one is two levels deeper. A seller scanning only the child category never sees the tender. The fix is a title-and-description sweep every few days as a separate routine.
- The stale saved view: A tender saved last week may now carry a corrigendum that changes the turnover floor, the document list or the scope. The saved view does not always refresh to reflect these changes. Sellers who trust the saved view without re-checking miss corrigenda that could either qualify or disqualify the bid. The discipline is to re-open every saved tender before drafting begins.
- The ministry-versus-tendering-authority split: The Ministry that fronts the listing is usually based out of New Delhi, while the actual Tendering Authority can be based out of any state or city in India. Sellers filtering on Ministry miss tenders that route through unfamiliar buyers.
- The bulk-value versus annual-run-rate mismatch: A unit-rate tender listed at one lakh rupees in headline value can run to several crores over a two-year contract, because the header misleads the value-range filter on framework contracts and rate contracts. Sellers filtering on headline value miss businesses substantial over the contract term.
ClearBid's Tender Summary reads all of it: the main GeM tender page, the embedded ATC file and the linked specification documents. Sellers managing tender workflows in 7 steps build the corrigendum refresh into the same routine that reads the annexures. The ninety seconds per tender protects against the deadline shifts that the saved view would otherwise hide.
Filtering Versus Chasing: Side-by-Side on Common Bidding Tasks
Reading the two GeM ongoing bids approaches against each other on the tasks that fill an MSME's bidding week helps the seller pick the right method on any given day, because the choice is rarely between one or the other in absolute terms but rather between which method suits which task.
Bidding Task
Filtering
Chasing Every Bid
Morning triage time
Fifteen to twenty minutes
Two to three hours
Tenders reviewed per week
Twenty relevant candidates
Two hundred plus, mostly irrelevant
Decision fatigue risk
Low, since the filtered pile is small
High, since the pile is exhausting
Drafting time preserved
Six to seven hours per week
Zero to two hours per week
Missed relevant tenders
Some, due to structural traps
Some, due to fatigue-induced skimming
Reading Ongoing Bids as Procurement Intelligence Rather Than Inventory
GeM ongoing bids are the live feed of active tenders. The experienced bidder reads them as procurement intelligence rather than as a shopping list, because the patterns in that feed reveal where government spending is concentrated this quarter, which buyers are pushing budgets to expiry and which competitors are likely to be present in the room. Three reads compound over quarters: Each read produces information that shapes the seller's account strategy rather than just the current week's shortlist.
Counting active GeM ongoing bids from a single buyer tells the bidder whether that buyer is in spend mode. Counting tenders by sector flags whether a category is being driven by a budget cycle or policy push. These three drivers produce different tender profiles that affect how the seller should price and time responses. Watching repeat GeM ongoing bids from the same buyer over months exposes who won previous awards, because GeM publishes award details linked back to the original tender. That award history is one of the strongest signals of where the seller will face real competition on future bids in the same category.
Bidders who read GeM ongoing bids this way ask where the drafting time should go, not what to bid on. ClearBid's Hidden Clause Identifier flags LD clauses, payment terms, warranty and indemnity terms with High, Medium or Note severity. Sellers tracking GeM bid status closely build the intelligence layer alongside the tracking discipline they already run.
How ClearBid Collapses Filtering and Chasing Into One Workflow
Manual filtering works at low scale but compounds as parallel volumes rise. ClearBid's Tender Search reads gem.gov.in and returns a list of GeM government tenders sorted from the nearest closing date to the furthest.
For each result, the Tender Summary compresses the canonical one-to-two hour manual read to a six-component view: Bid Details for the basic tender identifiers and buyer department; Scope of Work for what the buyer is procuring at the granular level; Financial Terms for estimated bid value, EMD requirement and payment terms; Pre-Qualification for turnover thresholds, past experience, certifications and MSME relaxations; Evaluation Method for whether the tender uses L1 or QCBS; and Documents and Templates for the certificate list plus any tender-specific templates the seller needs. This structure means the seller reads the same six-part view for every tender, which removes the cognitive overhead of learning each tender's document layout from scratch.
ClearBid's PQ & Eligibility Criteria Match then matches the saved company profile against the pre-qualification criteria to return a score. The score reads Strong, Moderate or Weak with the specific gap named where the fit is not clean. For an MSE, the MSE Purchase Preference applicability gets flagged alongside the score. The exemption is captured as an input to the fit read rather than as a separate downstream check.
Conclusion
Filter every GeM ongoing bids day rather than chase every GeM ongoing bids tender. The four-dimension filter set of category, geography, value range and closing date sort brings the seller to fifteen or twenty relevant tenders that were always going to matter, while chasing costs seventeen hours of triage weekly. Structural traps push some sellers back toward chasing; recognising them prevents the drift. Chasing every GeM ongoing bids tender has a defensible role only in calibration windows or category-entry periods.
ClearBid's Tender Search reads the live gem.gov.in feed and returns a searchable list of GeM ongoing bids, while the Tender Summary compresses each tender read to a six-component view. Register on ClearBid today to filter every GeM ongoing bids day without missing the tenders that actually fit.
Frequently Asked Questions
Q1. Should you filter GeM ongoing bids or chase them all on a typical working day?
You should filter GeM ongoing bids rather than chase every tender on a typical working day, because the chase-them-all approach consumes hours of triage time producing a handful of shortlist candidates that filtering surfaces in twenty minutes. The filter set uses category, geography, value range and closing date sort as the four commercial dimensions, since these together narrow the raw feed to the tenders that actually match the seller's business.
Q2. How to check tender on GeM efficiently across the ongoing bids feed?
Understanding how to check tender on GeM efficiently across the ongoing bids feed starts with tight filters on category, geography, value range and closing date sort, because a twenty-minute morning scan against those filters produces a manageable list of relevant tenders rather than the several hundred live bids the raw feed carries. Filtered discovery makes the shortlist step a scannable exercise the seller can complete before the drafting queue opens for the day.
Q3. How to open tender in GeM after finding it through the filtered ongoing bids view?
Understanding how to open tender in GeM after finding it through the filtered ongoing bids view means clicking the tender record on the results page and downloading the full document set including embedded annexures, because the tender text alone does not carry every clause the evaluation will read. The public tender view does not require registration for reading, while actual bidding requires the seller's authenticated account on the platform.
Q4. When does chasing more than filtering on GeM government tenders make sense for an MSME?
Chasing more than filtering on GeM government tenders makes sense for an MSME in three specific situations: a first-time MSME calibrating filter thresholds in the first fortnight, a seller entering a brand-new category with no reading history to draw on. A seller responding to an unusually rich publication window such as a fiscal quarter close where buyers push tenders faster than the normal base rate.
Q5. What structural traps push MSMEs back toward chasing all GeM ongoing bids?
Four structural traps push MSMEs back toward chasing all GeM ongoing bids: wrong-category publications by buyers, stale saved views without corrigenda refresh, ministry-versus-tendering-authority confusion on filter setup, plus bulk-value versus annual-run-rate mismatches on the value filter. Each trap is preventable with a specific parallel routine layered onto the filtered daily scan, because the traps are structural quirks rather than user errors.
Q6. How do GeM ongoing bids serve as procurement intelligence beyond opportunity counting?
GeM ongoing bids serve as procurement intelligence beyond opportunity counting because the feed reveals patterns that shape account strategy over quarters. Volume from a single buyer signals whether that buyer is in active spend mode. Counts by sector flag budget-cycle or policy-driven pushes. Repeat tenders from the same buyer over months expose who won previous awards, since GeM publishes award details linked back to the original tender.
Q7. How does ClearBid help a seller filter GeM ongoing bids without missing relevant tenders?
ClearBid's Tender Search reads the live gem.gov.in feed and returns a searchable list of ongoing tenders, while the Tender Summary compresses each read to a six-component view covering Bid Details, Scope of Work, Financial Terms, Pre-Qualification, Evaluation Method and Documents and Templates. ClearBid's PQ & Eligibility Criteria Match then returns a score of Strong, Moderate or Weak with the specific gap named.
