FMCG supply chains move high volumes across wide distributor networks with razor-thin margins for error. Freshness matters, availability drives revenue, and the cost of getting inventory positioning wrong shows up immediately: in lost sales, write-offs, and retailer churn.
The network carries weeks of inventory, yet value fill rates sit around 50-60%. Stock is in the system, just not where it's needed. Worse, the longer it sits mispositioned, the more shelf life it burns. By the time it reaches the right location, freshness has already taken the hit.
As month-end approaches, whatever stock is available gets pushed into the channel to hit targets, regardless of what distributors or retailers actually need. The result: an overloaded channel carrying the wrong mix, and the first two weeks of the next month spent correcting the imbalance.
Long pipeline times between plant and point of sale mean products age in transit and in warehouses. By the time stock reaches the retailer, a significant chunk of its shelf life is already consumed, leading to near-expiry write-offs, returns, and margin erosion on products that should have been sold fresh.
FMCG portfolios run into thousands of SKUs across variants, pack sizes, and regional preferences. Forecasting at this granularity is a losing game: accuracy deteriorates as the range expands, and every miss translates into either a stockout or excess that sits until it's discounted or written off.
FMCG demand planning relies heavily on statistical models, but the numbers mean nothing without buy-in from sales, marketing, and operations. Promotional plans, launch expectations, and channel-specific intelligence sit in people's heads, not in the system. When S&OP can't structure the capture of this human intelligence into a collaborative consensus, the forecast stays a statistical guess that no one truly owns.
FMCG companies constantly update packaging, labels, and product designs, but old-design stock doesn't disappear from the pipeline when the new version launches. The result is fragmented inventory across versions at every node in the network, making it nearly impossible to manage stock positions cleanly or avoid write-offs on superseded packaging.
FMCG supply chains fail when planning treats every SKU, every channel, and every depot the same way. Oritiq's FMCG supply chain management software is built around buffer-driven replenishment across multi-tier warehouse networks, age-based inventory rotation to protect freshness, and structured consensus-building that turns statistical forecasts into plans people actually own, not the one-size-fits-all logic most consumer goods supply chain software defaults to.
Most FMCG inventory management software tracks stock quantity but ignores stock age. Oritiq builds freshness into the replenishment engine, flagging ageing inventory before it crosses threshold, prioritising dispatch of older batches first, and shortening the pipeline between plant and shelf so products arrive with maximum remaining shelf life, not minimum.
Most FMCG demand planning software stops at the statistical forecast: a number generated from history that no one in sales, marketing, or operations feels accountable for. Oritiq builds a superior base forecast and then structures the capture of human intelligence (promotional plans, launch expectations, channel-specific knowledge) into a collaborative consensus. The result is a forecast that reflects both what the system sees and what your people know, owned by the people who have to execute it.
Most FMCG ERP systems track SKUs but don't manage the transition between old and new packaging versions. Oritiq's phase-in phase-out module ensures inventory of the phased-out SKU is exhausted while inventory of the phased-in SKU builds up. Batch-level control while allocating inventory to orders further improves freshness across the network, so version overlaps don't turn into write-offs.
From electrical consumer goods to confectionary and beverages, the same availability and freshness improvements repeat. These results come from the founding team's direct supply chain optimization work inside FMCG operations: the same principles Oritiq now automates.
Fill rates move from typical 50-60% baselines toward 95%+ when replenishment is driven by consumption, not forecasts.
System inventory drops from 60-65 day norms toward 45-50 days without sacrificing availability.
Returns and write-offs from ageing stock stop when freshness is managed at the replenishment layer, not discovered at the shelf.
