Industry · FMCG
A multi-channel demand transformer pre-trained on FMCG and beverages tensors across on- and off-premise channels, cross-attended with a domain sentiment encoder over social and trade signal. Downstream heads fine-tune to category, calendar, and route-to-market — and agents act on price, promotion, distribution, and supply.
01 · SharpAI
Predictive models
11 models · foundational + downstream
02 · AUTONOMY
Agents
20 agent patterns in this vertical
03 · FDE
Engineering services
3 anonymized engagements
01 · SharpAI · FMCG
A time-series transformer pre-trained over FMCG transaction tensors (SKU × channel × account × week), cross-attended with a domain-tuned sentiment encoder over social, reviews, and trade signal. Downstream heads attach to the joint embeddings and fine-tune to category, route-to-market, and competitive context.
Foundation · what the backbone tokenizes
Years of FMCG transaction tensors plus continuous sentiment and trade signal. Each dot is a raw signal the demand backbone or the paired sentiment encoder tokenizes — hover or tap to see what it is.
Downstream · what the head consumes
The trade-promo head reads the frozen MCDT and STSE embeddings plus a focused set of decision-time features. Hover any node — these inputs drive promo allocation and the lift measurement.
Foundation models · self-supervised pre-training, frozen backbone reused downstream
Backbone for FMCG forecasting. Treats on- and off-premise transactions as a multi-axis temporal tensor; cross-axis attention runs across time, SKU, channel, and account simultaneously. Static covariates (calendar, weather, promo, route) injected as conditioning tokens.
Temporal Fusion Transformer family · cross-axis attention (time × SKU × channel × account) · 256-dim hierarchical embedding · weather + macro + calendar conditioning
Pre-training objectives
Corpus · Years of FMCG and beverages transaction tensors · billions of SKU-channel-account-week records · multi-company joint pre-training across beverages, packaged goods, and industrial distribution
Domain-tuned text encoder over social listening, reviews, and call/trade transcripts; cross-attended to the MCDT embedding so demand and pricing heads read structured volume and unstructured sentiment jointly.
Domain-adapted text encoder · joint cross-attention with MCDT embedding · multilingual (ES / PT / EN)
Pre-training objectives
Corpus · Millions of social posts, reviews, and trade-channel transcripts · multilingual · category-tagged for fine-tuning
Downstream heads · fine-tuned on the frozen foundation embedding per institution and use case
Demand forecast tuned to on-premise channels (bars, restaurants, hospitality).
Channel-conditioned multi-horizon head
Demand forecast tuned to off-premise modern and traditional trade.
Channel-conditioned multi-horizon head
Sizes demand for new-product launches and recalibrates rapidly as early sell-out signal arrives.
Few-shot head · similar-SKU retrieval from MCDT
Allocates trade promo budget across SKUs, accounts, and weeks; measures lift vs. baseline in real time.
Uplift head with synthetic-control baseline
Category-, brand-, and SKU-level elasticity across channels, including cross-elasticity with competitor SKUs.
Counterfactual elasticity head · cross-SKU attention
Real-time brand-health signal from social and reviews; feeds demand and surfaces trend shifts.
Classification + regression head over STSE
Recommends the ideal offer per distributor with margin and volume weighting.
Ranking head over distributor-pooled embedding
Surfaces under-covered territories and routes with growth potential.
Coverage gap detection over RTM-pooled embedding
Recommends raw-material procurement quantities and timing with confidence-aware buffer.
Quantile-forecast head with risk-adjusted buffer
300%
Forecast accuracy uplift vs. industry baseline · top global beverages
+21%
Distributor revenue lift · top 10 chemical company (FMCG distribution pattern)
50+
Charts and reports surfacing actionable insight at top global beverages
Real-time
Social-sentiment integration on every forecast
02 · AUTONOMY · FMCG
FMCG decisions land daily across commercial planning, trade promotion, distribution, and supply. These agents act on each cycle — and on the cross-cycle dependencies the cycles miss.
20 agent patterns · ordered by deployment maturity
Predicts demand at SKU-region-channel-account granularity with weekly to 14-month horizons; recommends supply and replenishment to ops.
Trigger · Daily refresh + event
↳ 300% forecast accuracy uplift · top global beverages
Analytics + LLM + Site + Observer working together — continuous competitor pricing, news, and demand monitoring with proactive alerts.
Trigger · Continuous
↳ Real-time competitor + demand surface
Drafts account-specific trade promotions, allocates budget across SKUs and weeks, and monitors lift versus baseline in real time.
Trigger · Promo planning window
Predicts the ideal offer per distributor and routes campaign execution; surfaces under-performing accounts to the sales lead.
Trigger · Channel cycle + score
↳ +21% distributor revenue (chemical distribution pattern)
Listens across social, reviews, and call transcripts; surfaces brand-health and category-trend signal to commercial and brand teams in real time.
Trigger · Continuous
↳ Pre-incident brand monitoring
Monitors competitor prices continuously across categories; recommends or executes price moves bounded by elasticity and policy.
Trigger · Competitor price-change signal
Sizes demand for new-product launches and recalibrates rapidly as early sell-out signal arrives; surfaces over/under-stock risks.
Trigger · Launch event
Recommends raw-material procurement quantities and timing to cover forecasted demand with confidence-aware buffer.
Trigger · Procurement cycle
Multi-echelon rebalancing across plants, warehouses, and distributor sites — accounting for in-transit, seasonality, and route.
Trigger · Weekly + threshold event
Surfaces under-covered territories and routes with growth potential; routes the recommendation to the sales lead.
Trigger · Quarterly coverage review + signal
Demand prediction tuned to on-premise channels with event and seasonality enrichment; routes the recommendation to commercial.
Trigger · Event / calendar + signal
Demand prediction tuned to off-premise modern and traditional trade; routes the recommendation to commercial and supply.
Trigger · Daily refresh + event
Reads trade-spend allocations and surfaces re-allocation opportunities by account and SKU based on measured lift.
Trigger · Quarterly trade-spend review
Reads sentiment + transaction signal and surfaces brand-health metrics by region and segment; flags brand-equity risk.
Trigger · Continuous
Coordinates activation events, sampling, and promo timing across regions; surfaces conflicts and gaps to commercial.
Trigger · Quarterly calendar planning
Tier-1 conversational resolution for retailer and distributor service requests across email and chat; escalates to humans on judgment.
Trigger · Service inquiry
Inside the field sales rep's mobile / desktop — surfaces next-best-action per visit, account context, and recommended offer.
Trigger · Visit / route start
Pre-checks customer-facing promotions and pricing against trade-practice rules, regional regulation, and the company's commitment framework.
Trigger · Pre-action gate
↳ Pre-action compliance
Schedules personalized outbound contact across distributor and retailer channels — frequency-capped per account and per offer.
Trigger · Score + campaign
Coordinates demand + promo + price + market-intelligence + supply agents on a quarterly commercial plan — one audit trail.
Trigger · Quarterly commercial cycle
↳ Cross-function coordination
300%
Forecast accuracy uplift · top global beverages
Multi-channel
On- and off-premise coverage
Real-time
Sentiment + competitor monitoring
50+
Surfaced reports at top global beverages
03 · FDE · FMCG
Senior engineers embedded with the company's commercial, supply, trade marketing, and route-to-market teams — integrating with ERP, distribution platforms, and sales-force systems against the company's commitment framework and regional trade practices.
Read-only access into ERP (SAP / Oracle / proprietary), distribution platforms, and field-sales systems — feeding demand and pricing decisions in near real time.
Continuous social, review, and call-transcript ingestion; sentiment-enrichment feeds the demand foundation and surfaces brand-health signal to commercial and brand teams.
Trade-spend allocations integrated with the demand forecast and lift measurement — promo decisions are measured, not estimated.
Insight lands in the distributor portal, the field sales rep's mobile, and the trade marketing tool — not in a separate analytics dashboard.
Continuous monitoring of competitor pricing, news, and consumer signal — feeding pricing decisions and surfacing aggressive competitor moves.
Drift detection, scheduled retraining, and rollback procedures tuned to FMCG seasonality and the rapid recalibration new-product launches demand.
Anonymized engagements · same engineering team end-to-end
Top global beverages · S&P 500
Multi-channel beverages company
Multi-channel demand forecasting with social-sentiment integration, market-intelligence multi-agent system, and trade-promotion measurement across on- and off-premise.
300% forecast accuracy uplift vs. industry baseline · 50+ surfaced reports · billions in projected revenue lift.
Top 10 global chemical company · distribution
Industrial FMCG distribution network
Distributor channel optimization, ideal-offer prediction, and competitive-price agents — pattern transferable into beverages and packaged-goods distribution.
+21% distributor revenue (16% volume / 5% margin).
Top Brazilian paint manufacturer
Multi-channel manufacturer
56 months of data and ~749K records analyzed for sales mix and uplift modeling across the distribution network.
16% sales mix uplift · 21% total uplift.
Team shape — typical FDE composition for this vertical
Embedded senior engineers, predictive models in production, and agents that execute on every score.
