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Notes from Feb 2 demo w Tarun Katoch

  • What really drives member stickiness with an FPO?

    • Farmers are most interested in how can you help me sell at better price?

      • Getting to the first crore of output sales is huge; farmers see that the FPO adds value and have seen groups that go from 1 to 6cr in terms of offtake in a single season (as more members come on-board)

    • Credit

    • Inputs

  • Instilling a sense of ownership and high member engagement are critical for an FPO to succeed

    • cooperatives in dairy work well bc there are daily transactions

    • FPOs need to work on internal comms and getting members to participate in governance; Dvara is still figuring this out

    • Farmers meet local traders regularly and have long standing relationships; how can FPOs re-create this when they are large / diffuse?

  • Dvara’s model is super hands on; they have teams of people focused on inputs and output marketing including doing tie-ups with suppliers / buyers. Dvara steps in and serve as a mediator when there are disputes over quality btwn FPO and buyer (which happens often)

    • Currently promoting 25 FPOs in Rajasthan, MP, Odisha, Maharashtra

    • Critical to have a Dvara person on-site to handle data collection. Tried leaving this to the CEO/BOD/Accountant at the FPO but the data needs to be accurate and timely and they were not able to deliver.

    • Dvara is charging for their services but not sure exactly how much

  • Khet score, which is an output of the analytics suite (see below) combines two perspectives: (i) potential of the land (based on nutrient soul condition derived, exposure to flood/drought and other risks from RS) and (ii) discipline of the farmer (track whats happening on the field over multiple years)

    • Score ranges from 20 to 100; above 50, OK to lend

  • Some screenshots from their dashboard below. While in theory, this is for the CEO and BOD, reality is that they work on intuition and Dvara has fortnightly calls with the CEO and BOD to go through everything captured in the dashboard and drive things forward

Farmer Profile

List of Nearby Warehouse Providers

Landing Page

Incl a 5 day weather forecast; futures and spot prices

FPO Input Shop

(Apparently this also accessible via farmer facing app as well)

Digitized Plot Boundaries

Notes from Feb 1 call w CEO Sanjay Mansabdar

  • “FPO stack” demo scheduled for Feb 2

  • Dvara serves as a BC (banking correspondent) for lenders that want to meet their Priority Sector Lending (PSL) requirements, which is a real challenge for banks

  • They are also a Cluster Based Business Org (CBBO) and promote / support FPO themselves

  • They have a digital platform for FPOs and the hook to get farmers to load data is access to credit

  • Three components to their “Doordrishti” platform

    • FPO stack: Static (eg, geo-referenced land parcels) and dynamic (crop, sowing and harvest dates) data at the farmer level, aggregated for the FPO and easy to share w input companies and buyers (sounds pretty similar to KDE). They also so some services like soil testing and the results are captured here.

    • Analytics stack: Layer in remote sensing and imaging data to build a credit perspective; what is the risk / reward  of lending to these farmers. The output of this layer is a farmer credit score (“khet score”

    • Lending stack: This is the BC bit; Dvara acts as a BC for banks (PSUs, regional banks, etc) to help them build a portfolio of farmer loans to meet their PSL targets. Dvara handle various operational bits like documentation, KYC, e-sign, collections, etc.

  • Two main products (note, didn’t get a sense for total loan volume but Sanjay indicated huge demand from lenders and farmers for this product, will explore further in follow-up call)

    • Farmer loans

      • Initially 35-40k rupees check size; increases to 75k by third cycle

      • Interest rate of 23-25%

      • Without credit, farmer’s entire decision is driven by local trader who bundles inputs with access to credit and offtake (but at low prices), access to capital enables choice in what inputs to buy/where and where to sell

    • FPO loans

      • Still nascent as FPOs as an institution are weak (no systems or governance, poor capitalization, no credit guarantees) and lenders are wary

      • Dvara leans in heavily, orchestrates the entire transaction and provides a first loss guarantee

      • The funding is short term and transaction based. Example: Lender pays an input supplier on-behalf of an FPO who sells the inputs to its members and Dvara remits payment back to the lender

  • Developed an insurance product that automated the claims process via farmer photos and remote sensing but not able to get traction

    • For context, the PMFBY scheme charges farmers 2% of their cost of cultivation as premium and payout is super “coarse” as it based on delta of yield from 4 random sites in the region relative to historical standard; not tied to the individual farmers realization at all

    • Dvara’s approach was to tie the payout to the farmers actual realization which they tracked via remote sensing (if you grow paddy in x region, this is the standard yield, if you suffer, payoff based on a ratio) and imaging (farmer self-submit geo-tagged photos, track changes over time)

    • Dvara not able to offer this product for the 2% floor set by PMFBY (their pricing is closer to 7%) so its stalled

  • On equipment loans, there is interest in cold storage from FPOs that are working with perishables; for non-perishables, utilization for most equipment is just a couple times a year so not worth owning directly

  • Sanjay feels a pure digital business is not possible w small/marginal farmers

    • Dvara model is to place a “Krishak sakhi” at the FPO to ensure effective data collection for its FPO stack otherwise it just doesn’t happen

  • I asked if Dvara offers FPOs data portability for the info captured in FPO stack; Sanjay claims not much demand for this at the moment but in theory they are fine with it. Their beleif is that the data is useful when tightly integrated (eg, farmer info + analytics + on-ground people to help banks lends into this space)

  • Also, data monetization requires major scale; an you aggregate across 30 FPOs in a region and present that to an input company; individual FPO is not that interesting

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